Mass Customization Essay Example | Topics and Well Written Essays - 1000 words

Mass Customization - Essay Example The market is quickly developing just as items; in this way mass customization will give a compelling methods for catching open doors in internet business. Cameron (1998) expressed that clients by and by require excellent tweaked items at low costs just as faster conveyance. It must be noticed that mass customization requires a development type of innovation also should be appropriately executed. As indicated by Pine (1993), mass customization markets are divided just as heterogeneous while in large scale manufacturing, markets are to a great extent homogeneous. This is a key differentiation between the two advertising methodologies. A few focal points of mass customization incorporate bringing down the expense by giving the buyers extraordinary incentive for their cash. The maker is likewise ready to make higher benefits by giving them a more extensive market for their items which are customized to fit explicit clients. Prior to taking a short in customization, firms should initiall y discover how the wants of different clients contrast and the significant highlights in an item to alter. Besides there is have to guarantee that mass customization doesn't block flexibly chain tasks. This requires an enthusiastic procedure configuration to guarantee proficient conveyance of altered arrangements. At last there is have to limit decisions with the goal that clients think that its simple to choose results of their favored tastes. 1. Item Selection. With the end goal of this investigation I have chosen shoes as an item to be tweaked. Shoe industry in the United States offers an ideal case for customization. 2. Item factors. The different item factors from with various customers can look over incorporate; saddle shoes, shoes, skates, tennis shoes and loafers. 3. Measured segments. The secluded segments which I will have close by incorporate quill light spikes, tweaked sports shoes and multi style particular shoes. 4. Singular customization. This will include online exam ination on the different sorts of shoes accessible in the market. 5. Steps in mass customization in the shoe business (a) The client reports to the prepared deals operator who guides them on the means to trail thinking about his/her solicitation. (b) The business operator guides the client to the shopping flour they picked their good style, shading just as surface. (c) The client at that point continues to the following stage where his/her feet are estimated utilizing a PC scanner which is situated at the store. (d) The genuine estimations are sent to the producer by means of modem. This takes a brief timeframe with the goal that makers in different nations can likewise be reached. This is finished by the prepared deals operator. (e) The maker experiences the genuine detail to develop with the real plan that was arranged by the client. (f) Delivery to the client is the last stage to this procedure and it ought to as quick as could be expected under the circumstances. At this last st age, the purchaser is likewise expected to make last installment for the item on the store he/she had made prior. End Mass customization has helped numerous ventures in diminishing their operational expenses just as creation costs. Stock misfortunes have additionally been limited incredibly. This can be accomplished by restricting the quantity of styles and sizes whereupon the client choses from. Anyway various difficulties have likewise been seen, for example, inability to

Problems to Write an Essay About

Problems to Write an Essay AboutWhen you're looking for the right questions to ask to write an essay, you'll find that it's a lot simpler than you may think. Questions will help you by taking the mystery out of writing an essay. They'll also make your work easier because they are specific to a subject and don't have to deal with any other questions.Most people who want to write an essay find that they have several big problems. Writing an essay can be really time consuming, because you need to write and re-write the essay over again. You'll find that you don't have much time to put into it, but you still need to write your essay.One of the biggest problems to write an essay about is boredom. When you read a novel, you're bored if you don't care what happens in the story. However, when you're writing an essay, you might not care that much.The second problem is that when you're writing, you'll find that you can become a bit distracted. You may feel that you're getting lost in the flow of your essay. To help avoid this, try using the 'paragraph break' command. This will help you keep the sentences together and give you something to focus on.The third problem to write an essay about is the difficulty. Some people find that when they're writing an essay, they feel that they need to break it down into paragraphs to try and keep it easy. However, this tends to make the essay seem more like a report, which is not the goal of it at all.If you do find that you are having difficulty with the ideas that you have to share, then you should think about what makes you feel like you need to write your essay. Once you've come up with your problem, you should use that as a way to work through your ideas. It may take you a few tries, but you should eventually figure out how to write an essay.One other thing to remember when you're looking for the right questions to write an essay about is that you should write your essay from your point of view. When you're trying to write an essa y, it's difficult to be objective about it. However, when you have your own point of view, you can write it from that, and that will give you a clearer picture of your topic.Once you've found your first problem, you'll have a better idea of what you're going to be writing about. Use the tips above to help you get through them. You'll find that it's easier to write an essay when you start off with the right questions to ask. It's also easier to write an essay when you start with an open mind.

Mother Teresa Of Calcutta Theology Religion Essay

Mother Teresa Of Calcutta Theology Religion Essay Favored Teresa of Calcutta, conceived Agnes Gonxha Bojaxhiu and ordinarily known as Mother Teresa of Calcutta, was an ethnic Albanian, Indian Roman Catholic religious recluse. By blood, I am Albanian. By citizenship, an Indian. By confidence, I am a Catholic religious recluse. With regards to my calling, I have a place with the world. With regards to my heart, I have a place completely with the Heart of Jesus. The book Mother Teresa by Navin Chawla is a delicate, discerning account composed with Mother Teresas full participation and consolation, depicting her strategic confidence and rules that guided her. The main American production of the approved memoir of Mother Teresa (distributed in UK in 1992), this book was composed over a five-year time span (1987-1992). The creator, an Indian civil servant and a resigned boss political decision magistrate of India, has gathered numerous letters and uncommon photos, which give individual appeal as she portrays the life of this Albanian religious recluse who has lived in Calcutta since 1928. To peruse this book is to be unexpectedly raised to Mother Teresas transformative vision of the world. Mother Teresa considers the to be as the very body of the executed Christ, and she sees uncleanliness patients as beneficiaries of an endowment of God intended to carry them closer to Him. Page by page, the drumbeat of this amazing perspective makes it in a split second clear how the author of the Missionaries of Charity has changed what ought to be the most shocking conditions of infection, neediness and passing into a chance to serve the messed up body of the living Christ. What makes this account stand apart from the numerous different books of Mother Teresa is Navin Chawlas extraordinary access to the Saint of the Gutters and the strict convictions he holds. Navin is a Hindu, however alludes to himself as close to skeptic. Who preferred to compose an account over one who is incredulous? He composes of the realities, which incorporate supernatural occurrences that happen each day. Mother Teresa herself informs him concerning these marvels, on the off chance that you supplicate, you will see them. He composes realities which nobody can contest. The five years Navin took to finish the book empowered him to comprehend the internal individual and convey his bits of knowledge. It was clear right from the Prologue where he composes, As a Hindu, it took me longer than most to comprehend that Mother Teresa is with Christ each cognizant hour, regardless of whether at Mass or with each of those to whom she tends to. It's anything but an alternate Christ on her c ross and an alternate one which untruths biting the dust at Kalighat. For Mother Teresa, to cherish ones neighbor is to adore God. This is what is fundamental to her. MOTHER TERESA, AN INDIVIDUAL WITH STRONG CHARACTER The life story began with the biographers note on how he figured out how to get the authorization from Mother Teresa to compose a book not about her however about the work and gives a short record of accomplishment of administrations by Mother Teresa. At that point he discusses the youth of Mother Teresa however not given in detail yet was adequate to clarify the musings that drove her to turning into a pious devotee. Mother Teresa was conceived as Agnes㠫 Gonxhe Bojaxhiu on 26th August 1910 as the most youthful kid to Nikola and Drane Bojaxhiu in Skopje, Yogoslavia. Her mom, Drane who was not just strict yet viable and promise to her confidence affected the character and the otherworldly existence of youthful Agnes. Agness strict arrangement grew further through her broad inclusion in the energetic Jesuit area of consecrated heart. She was portrayed as a decent understudy, careful in appearance, efficient, one who never rejected assistance or help and inviting by her relatives whi ch she created being a piece of the Sodality. At eighteen years old, she chose to leave her home and become a religious woman as she understood her job was towards poor people. From here the book gives minute insights about Mother Teresas venture from her underlying days in India particularly in Darjeeling and Kolkata as a sister at Loreto religious community, Entally where she took her promises, those of neediness, virtuousness and compliance to turning out to be Bengali Teresa. An individual with solid otherworldliness and a profound love for her associates (Sisters) and supporters (understudies), Mother Teresas twenty years at Loreto was noted for her cause, unselfishness and boldness, her ability for difficult work and a characteristic ability for association, she experienced her sanctification to Jesus, amidst her mates, with devotion and bliss. MOTHER TERESA, A LEADER WITH CONVICTION Now of time when she got a bring in a call as an inward order to proceed to serve the poor in the lanes, she moved toward the circumstance with much contemplation and conference with her profound counselor Father Van Exem. She needed to stay dedicated to her catholic confidence and not be viewed as a mainstream that had surrendered her job as Mother. A long time later with just three Saris and pennies she was on her way into the boulevards wanting to give love and expectation where none existed and with a solid confidence in her motivation that God would be her supplier. This is an European lady that ventured out into the least fortunate of the poor lanes of India with no cash, no home and no assurances. She has been derided, starved had stones tossed at her, been undermined and mistreated. She is the person who began her first school in Quite a while with a twig that she drew out the Bengali letters in order in less than a tree. She didnt trust in sparing, as she generally accepted that God would give. She never requested gifts, yet in some cases would fall back on asking as the poor did. Never for herself however consistently for other people. The stunning thing about her was that she did everything on trust. Today there are homes made by her in more than 130 nations including the U.S. Her Missionary Services called Missionaries of Charity keeps on developing significantly after her demise. There are Sisters and Brothers that serve and have all taken the destitution promise and live precisely like poor people. She generally alluded to herself as a simple instrument of God and all the work was finished by God. MOTHER TERESA, A LEADER WITH A STRONG VISION AND MISSION One of the most significant standards Mother Teresa lived by as a pioneer was her Vision. She understood that she was the voice of her vision. She needed to state it plainly. The vision was kept basic and unambiguous and she put stock in it and lived it each dayin all that she did. The vision inspired her consistently and she inserted it profoundly into the association that she fabricated. She additionally had a reasonable objective which was her strategic her entire life-to serve and to do Gods will. Her case of moral utilization of intensity has become a guide to the individuals who have a lot of influence in this world. She indicated the world that one needn't bother with cash, power, an office, staff, an authoritarian voice to change the world. Rather, all that is required is a conviction, a heart of modesty, and an existence of dedication. Her work itself had significant impact in the most impossible spots and regularly at the most elevated spots. For example she was a gigantic power in the congregation. The pope constantly got her at whatever point she visited Rome, as he may get his own youngster. The book discusses a few cases where her solicitations to a countrys President were conceded right away. She took activities during a starvation in Ethiopia, spread the message to the then US President Ronald Reagan and he sent his assistance to the spot with food and medication. She was considered as the most influential lady on the planet, yet she remained modesty itself. The life story gives an immediate record of the character of Mother Teresa. The creator gives unaltered depictions of occasions from which we can without much of a stretch distinguish these character attributes as our own. She seems to be a striking, decided, concentrated person who dont set out to ask, to ask for poor people; an efficient individual who realizes how a progression functions, who knows needs and the estimation of cash. She was straightforward, yet dedicated. An individual with a dream and worth the significance of petition! The creator is profoundly moved by the way that while the majority of us like to concentrate on the huge thought, or the huge vision, Mother Teresa concentrated on devotion in the littlest things. While we consider adoring the entire world, she encouraged us to cherish our neighbor. While we center around doing extraordinary things, she concentrated on doing little things with affection. At last, it is these little things that will decide whether we will accomplish anything large in our life. MOTHER TERESA, AS A TRANSFORMATIONAL LEADER As a pioneer, the more one is eager to forfeit and surrender oneself for the bigger vision, the more noteworthy the organic products one will bear. The more one sows regarding exertion, time and cash, the more one will harvest in ones life. Mother Teresa gave herself completely to reduce the neediness around her by contacting each life in turn, and she achieved such a great amount toward an incredible finish. Mother Teresa is a fine case of a pioneer in todays culture. Her significant humble ways and administration has perpetually formed the manner in which this world glances at the individuals who live without it. Notwithstanding her authority characteristics Mother Teresa would not have ascended to extraordinary statures to win the hearts of the a huge number of individuals around the world. She served poor people, stranded and kicking the bucket individuals for more than forty-five years and never under any circumstance was worn out on her administration. The genuine stories refer enced in the book contact and rouse our heart. At the point when the individuals influenced with sickness were considered as untouchables, she stretched out her administration to them and thought about them by beginning numerous homes. Mother Teresa was extremely modest and never thought about her own picture, an uncommon quality that could barely be found in any pioneer far and wide. At whatever point she happened to go in flights, she used to gather the extra food from all the voyagers on the plane and circulated the gathered food to the ravenous and penniless individuals. Despite the fact that she had no cash commonly, she never faltered to ask to help individuals. She was very gutsy in helping individuals experiencing disease. She never was drained in hel

Making Yogurt in Factory - 550 Words

Making Yogurt in Factory (Term Paper Sample) Content: Studentà ¢Ã¢â€š ¬Ã¢â€ž ¢s Name Professorà ¢Ã¢â€š ¬Ã¢â€ž ¢s Name Course Date How Yogurt is Made in Factory Yogurt Yogurt is a Turkish word that means tart, thick milk. It is a sour, semisolid food made from fermented milk. This food has been in existence since the ancient times. Usually, it has been most popular among communities that kept cattle. The Functions of Yogurt The health benefits of yogurt are many. It contains probiotics which help in adjusting the natural balance of organisms in the intestines, and this helps in digestion. Due to presence of active cultures, it may help curb some gastrointestinal conditions like constipation, diarrhea, colon cancer, and inflammatory bowel disease (Shah 29). Moreover, yogurt with active cultures may help discourage vaginal infections. A study showed that diabetic women suffering from Candida vaginal infection had a drop in severity of the disease after eating 6 ounces of yogurt daily for 3 months. Also, it may help reduce the risk of getting high blood pressure. The research done showed that people who take 2-3 servings of low-fat dairy milk a day had lower chances of developing high blood pressure compared to those who did not (Chandan and Kilara 75). Materials Used in Making Yogurt The following ingredients are used in making yogurt: milk, sugars, fruits, flavors, stabilizers, and bacterial cultures. During fermentation, bacteria interact with milk and convert it into a curd (Soukoulis et al. 21). The bacteria also change flavor of the milk giving it the yogurt taste. The yogurt cultures help produce different types of flavors and textures. Sugar or artificial sweeteners like saccharin are added to make yogurt sweeter while shelf stability is achieved by adding stabilizers like gelatin, guar, and pectin. Moreover, flavors and fruits like bananas, strawberries, and peaches are added to improve taste. Meanwhile, in the recent past, manufacturers have come up with other flavorings such as vanilla, chocolate, and mint. The Manufacturing Process At the factory, the process of making yogurt is modifying the composition of the milk, pasteurizing it, fermenting, then cooling, and finally adding ingredients. Modifying Milk Composition. After milk arrives at the factory, the fat content is reduced while the total solids are increased to about 16% through a process called centrifugation. Thereafter, it is placed in storage tanks. Pasteurization and Homogenization. After adjusting the solids composition, stabilizers are added and the milk is pasteurized by heating to 1850 F and then left for 30 minute (De Brabandere and De Baerdemaeker 14). The process is important for three reasons. Firstly, it destroys microorganisms in the milk. Secondly, it denatures milk proteins to give yogurt a better body, and finally, it helps release compounds of the milk which will stimulate the growth of the starter culture. Pasteurization is followed by homogenization, a process where the fat globules are broken down into smaller particles to give uniform end products that do not separate. Fermentation. After the above processes, milk is cooled to about 1100 F and the fermentation culture is added. It is maintained at this temperature for three to four hours. When the desired level of lactic acid is reached, it is cooled, modified, and dispense...

Examples And Ambiguities Of Art Censorship - 1459 Words

Examples and Ambiguities of Art Censorship (Position Paper) Art censorship, suppression of the arts, has a very long history. This is because all societies must decide what the limits of free speech are, and in this decision they must also decide the status of art. It is easy to raise more questions than answers when exploring this topic as it is a question whose answer is affected by differing perspectives and opinions. It would be exceedingly difficult to articulate an argument based on data, and even more difficult to prove any kind of causation using this data. Because of this I won t even try to make this type of argument, instead I ll only provide some historical and current examples of art censorship and express my own opinion†¦show more content†¦Pope Paul IV ordered a list of prohibited books in 1559. This list has been updated 20 times and was not abolished until 1966. This list was horrifically enforced during the inquisitions through the burning of the books in q uestion and sometimes their authors. In 1652 The Catholic Friar Diego de Landa order the commencement of the burning of Mayan codices and idols. Only three of these codices written in the Mayan hieroglyphics remain. A whole written system was very close to being completely annihilated. This demonstrates how harmful and destructive censorship can become when taken to the extreme. Eventually attitudes towards the naked human figure had changed in the art world. But, in 1865 Edouard Manet s Olympia was still able to generate controversy. Although it was normal to see nude paintings, this particular painting generated controversy because of its realistic rendering which contrasted with the usual idealized style of the time. Also, the woman in the painting returns the viewers gaze which some found to be off putting. This particular work did not experience censorship problems with the government or gallery, but instead the attempted censorship came from bystanders. In fact two policemen were there to guard the painting from them. I would argue that this is indeed a form a censorship. Censorship does not have to come from a government or a gallery, but can come from anyone attempting to suppress speech

Chinua Achebe s Things Fall Apart - 1462 Words

Things Fall Apart is a 1958 novel and literary work by Chinua Achebe, a Nigerian Author. The novel depicts the rural life in small Nigerian fictional village just before the white missionaries and colonizers landed into Nigeria. In the novel, Achebe explores the challenges that the local ‘Umuofia’ faced due to a sudden cultural imposition from the Europeans. The novel is also a representative of the wider picture of African cultures and the socio-economic changes that characterized the colonial era. Ideally, Achebe’s literary work shows clearly that the colonization, introduction of a foreign religion and foreign cultures threatened to tear apart the indigenous cultures of the Igbo people (Achebe, 154). Again, Achebe effectively draws the†¦show more content†¦The Pre-colonial Igbo Achebe documents the traditions of the Igbo society as one whose culture had dignity, glory, and solemnity. The Igbo society had well established traditions, ideals, gods, goddesses, language, rituals, songs, dances and taboos. At the same time, the Igbo people lived in love, peace and happiness. Moreover, the Igbo people were full of health, grace, and well-being and their gods would always come to their rescue when they called upon them during the hour of need. Another characteristic of the traditional Igbo society was the strong sense of community that the people had. Whenever a dispute arose, the people would gather for inter-village meetings where the village elders would mediate peace and reconciliation processes (Achebe, 352). Traditionally, the Igbo people had no centralized governing authority such as a powerful chief. Instead of having centralized body, the society was divided into small groups so that the power would be dispersed rather than being concentrated. Patrilineag e, the basic social unit, occupied several compounds or homesteads of closely related families. Within each compound, there was a house for the household man, his wives, and the male adult children. A number of families made a lineage that occupied a hamlet compound. In addition, several hamlets would make a village, an autonomous unit. A cluster of

The Use of Mobile Healthcare Applications to Aid Medication Adherence

Question: Describe about the Use of Mobile Healthcare Applications to Aid Medication Adherence? Answer: Data analysis Descriptive Descriptive Statistics N Minimum Maximum Mean Std. Deviation sex 114 1.00 2.00 1.6053 .49095 age 114 1.00 5.00 1.9649 .93060 experience 114 1.00 6.00 3.3070 1.59161 smartphone 114 1.00 2.00 1.0351 .18481 platform 110 1.00 2.00 1.1364 .34474 hours_per_day 110 1.00 5.00 2.8909 1.28752 Valid N (listwise) 110 In data analysis part the description of statistics are based on sex, age, experience, smart phone, platform, hours per day respectively. From the given data and statistics the number of responses found is 114. The minimum, maximum, mean and the standard deviation are calculated to analyze to signify the outcome of the given data (12). The standard deviation of the the regulating parameters are calculated within 0 to 2 in each case. To make the analysis more efficiently working a descriptive chart has been prepared. The chart shows the said parameters position in a detailed way (1). The X-axis of the chart showing the people of the survey and the Y- axis shows the minimum, maximum, mean and the standard deviation. Descriptive Statistics N Minimum Maximum Mean Std. Deviation game_based 92 1.00 5.00 3.8696 1.19723 healthcare_apps 87 1.00 5.00 4.0000 1.17136 search_tool 96 1.00 5.00 2.5521 .97192 social_networking 103 1.00 5.00 1.9515 1.34586 news_apps 105 1.00 5.00 2.2476 .96855 using 110 1.00 5.00 1.5818 .86078 monitoring_health 112 1.00 3.00 1.8750 .58702 manage_medication 114 1.00 5.00 2.8333 .67728 consulting_healthcare_professional 114 1.00 5.00 2.9649 .80847 different_medicines 113 2.00 5.00 3.4248 .79961 take_medication 114 1.00 4.00 2.5439 .71816 forget 98 1.00 3.00 1.3469 .64380 side_effects 86 1.00 4.00 2.1279 .76384 feel_well_enough 28 1.00 3.00 2.4643 .74447 lack_of_time 13 1.00 7.00 2.5385 1.45002 no_improvement 24 2.00 5.00 2.5417 .72106 lack_of_understanding 62 1.00 3.00 2.0484 .77729 dosage_form_inappropriate 27 2.00 6.00 3.0000 .67937 strategy_to_take 108 1.00 4.00 1.9167 .54900 helping_adherence 114 1.00 4.00 2.2895 .72532 adherence_to_medication 114 1.00 4.00 2.7807 .80660 recommending_external_device 114 1.00 4.00 2.6140 .65862 promoted_by_professional 113 1.00 4.00 2.3097 .87709 used_app_by_the_public 114 1.00 7.00 1.7807 1.46196 aid_medication_adherece 114 1.00 7.00 2.9035 1.49317 ease_of_use 113 1.00 3.00 1.4071 .63579 reliability_security 108 1.00 5.00 2.9259 1.03854 regulated_information 104 1.00 6.00 3.8077 1.24695 In this segment based on sex, age, experience, smart phone, platform, hours per day respectively the other components stated in the left of the statistical table is optimized for the analytic purpose (4). Each case shows the minimum, maximum, mean and the standard deviation. Also the number of responses has been in the table to show the interest. Few of the vital analysis is made depending on the given chart to conclude a certain decision. The above mentioned graph shows 5 different parameters and the result out of the given data analysis. In smart phone the uses of game based software or application is showed by the blue line and its related standard deviation is presented according to that (18). The same way the position of health care apps, search tools, social networking apps and news apps are presented in the mentioned color respectively. Descriptive Statistics N Minimum Maximum Mean Std. Deviation cost 103 1.00 6.00 2.4951 1.20354 fun 105 2.00 6.00 5.0381 1.00884 impact_on_battery_life 103 1.00 6.00 5.1845 1.09139 manage_medicine_via_app 114 1.00 4.00 2.6404 .99670 concern 114 1.00 5.00 2.9211 1.68357 regulated 114 1.00 5.00 1.5965 .84894 training 114 1.00 5.00 2.1930 .95822 Valid N (listwise) 1 Another descriptive statistics shows the cost, fun, impact on battery life, manage medicine via apps, concern, regulated, training of the health care apps (19). The number of responses, minimum, maximum, mean and the standard deviation are also statically calculated in this scenario as well. Now here the analytic bar chart shows the number of responses for the cost, fun, impact on battery life, manage medicine via apps, concern, regulated, training of the health care apps. Also mean product is showed in the chart to confirm it statistically (10). The cost, concern and fun have managed to be at the top position in the chart. Oneway Anova Analysis of variance (ANOVA) is a specific procedure to analyze the particular differences between means of each group and the related associated variance. ANOVA Sum of Squares df Mean Square F monitoring_health Between Groups 1.620 1 1.620 4.866 Within Groups 36.630 110 .333 Total 38.250 111 manage_medication Between Groups 5.642 1 5.642 13.681 Within Groups 46.191 112 .412 Total 51.833 113 consulting_healthcare_professional Between Groups 3.860 1 3.860 6.175 Within Groups 70.000 112 .625 Total 73.860 113 different_medicines Between Groups 1.372 1 1.372 2.168 Within Groups 70.239 111 .633 Total 71.611 112 take_medication Between Groups 3.790 1 3.790 7.789 Within Groups 54.491 112 .487 Total 58.281 113 side_effects Between Groups .033 1 .033 .057 Within Groups 49.560 84 .590 Total 49.593 85 feel_well_enough Between Groups .618 1 .618 1.120 Within Groups 14.346 26 .552 Total 14.964 27 lack_of_understanding Between Groups 4.700 1 4.700 8.769 Within Groups 32.155 60 .536 Total 36.855 61 strategy_to_take Between Groups 4.875 1 4.875 18.877 Within Groups 27.375 106 .258 Total 32.250 107 helping_adherence Between Groups 2.093 1 2.093 4.087 Within Groups 57.355 112 .512 Total 59.447 113 adherence_to_medication Between Groups .327 1 .327 .500 Within Groups 73.191 112 .653 The above Analysis of variance (ANOVA) shows the sum of squares, df, mean square and the f of the given parameters mentioned in the table format. ANOVA Sig. monitoring_health Between Groups .029 Within Groups Total manage_medication Between Groups .000 Within Groups Total consulting_healthcare_professional Between Groups .014 Within Groups Total different_medicines Between Groups .144 Within Groups Total take_medication Between Groups .006 Within Groups Total side_effects Between Groups .812 Within Groups Total feel_well_enough Between Groups .300 Within Groups Total lack_of_understanding Between Groups .004 Within Groups Total strategy_to_take Between Groups .000 Within Groups Total helping_adherence Between Groups .046 Within Groups Total adherence_to_medication Between Groups .481 Within Groups ANOVA Sum of Squares df Mean Square F adherence_to_medication Total 73.518 113 recommending_external_device Between Groups .054 1 .054 .123 Within Groups 48.964 112 .437 Total 49.018 113 promoted_by_professional Between Groups .150 1 .150 .194 Within Groups 86.009 111 .775 Total 86.159 112 fun Between Groups .887 1 .887 .871 Within Groups 104.960 103 1.019 Total 105.848 104 impact_on_battery_life Between Groups .414 1 .414 .346 Within Groups 121.081 101 1.199 Total 121.495 102 manage_medicine_via_app Between Groups 1.700 1 1.700 1.722 Within Groups 110.555 112 .987 Total 112.254 113 concern Between Groups 3.517 1 3.517 1.243 Within Groups 316.773 112 2.828 Total 320.289 113 regulated Between Groups 1.475 1 1.475 2.066 Within Groups 79.964 112 .714 Total 81.439 113 training Between Groups 1.991 1 1.991 2.191 Within Groups 101.764 112 .909 Total 103.754 113 used_app_by_the_public Between Groups 2.527 1 2.527 1.184 Within Groups 238.991 112 2.134 Total 241.518 113 aid_medication_adherece Between Groups .039 1 .039 .017 Within Groups 251.900 112 2.249 Total 251.939 113 ease_of_use Between Groups 1.458 1 1.458 3.693 This is another Analysis of variance (ANOVA) which is purposefully used to show the the sum of squares, df, mean square and the f of the given parameters mentioned in the table format (7). ANOVA Sig. adherence_to_medication Total recommending_external_device Between Groups .726 Within Groups Total promoted_by_professional Between Groups .661 Within Groups Total fun Between Groups .353 Within Groups Total impact_on_battery_life Between Groups .558 Within Groups Total manage_medicine_via_app Between Groups .192 Within Groups Total concern Between Groups .267 Within Groups Total Regulated Between Groups .153 Within Groups Total Training Between Groups .142 Within Groups Total used_app_by_the_public Between Groups .279 Within Groups Total aid_medication_adherece Between Groups .896 Within Groups Total ease_of_use Between Groups .057 ANOVA Sum of Squares df Mean Square F ease_of_use Within Groups 43.817 111 .395 Total 45.274 112 reliability_security Between Groups 3.561 1 3.561 3.375 Within Groups 111.846 106 1.055 Total 115.407 107 regulated_information Between Groups 7.114 1 7.114 4.741 Within Groups 153.040 102 1.500 Total 160.154 103 cost Between Groups 4.202 1 4.202 2.957 Within Groups 143.545 101 1.421 Total 147.748 102 The above tabled ANOVA is made to show the sum of squares, df, mean square and the f of the given parameters such as ease of use, reliability security associated with the app, regulated information and the cost regarding to the apps. ANOVA Sig. ease_of_use Within Groups Total reliability_security Between Groups .069 Within Groups Total regulated_information Between Groups .032 Within Groups Total Cost Between Groups .089 Within Groups Total Now it is important to say that the partial correlation of the given data is also prepared statically to analyze the importance. Basically partial correlation is used to measure the specific degree of association between two random variables (5). Partial Correlation Correlations smartphone platform hours_per_day Smartphone Pearson Correlation 1 .a .a Sig. (2-tailed) .000 .000 N 114 110 110 Platform Pearson Correlation .a 1 -.090 Sig. (2-tailed) .000 .349 N 110 110 110 hours_per_day Pearson Correlation .a -.090 1 Sig. (2-tailed) .000 .349 N 110 110 110 healthcare_apps Pearson Correlation .a .097 -.143 Sig. (2-tailed) .000 .370 .187 N 87 87 87 game_based Pearson Correlation .a -.100 -.149 Sig. (2-tailed) .000 .341 .156 N 92 92 92 search_tool Pearson Correlation .a -.394** .285** Sig. (2-tailed) .000 .000 .005 N 96 96 96 social_networking Pearson Correlation .a .145 .035 Sig. (2-tailed) .000 .145 .726 N 103 103 103 news_apps Pearson Correlation .a .121 .167 Sig. (2-tailed) .000 .219 .089 N 105 105 105 Using Pearson Correlation .a -.115 -.166 Sig. (2-tailed) .000 .231 .084 N 110 110 110 monitoring_health Pearson Correlation .206* -.223* -.209* Sig. (2-tailed) .029 .021 .030 N 112 108 108 manage_medication Pearson Correlation .330** -.251** .006 Sig. (2-tailed) .000 .008 .954 This correlation data chart is correlating the smart phone, the given platform and the usage of per hours with the other statistical variables lined into the left side of the chart. Correlations healthcare_apps game_based search_tool Smartphone Pearson Correlation . .a .a Sig. (2-tailed) .000 .000 .000 N 87 92 96 Platform Pearson Correlation .097a -.100 -.394 Sig. (2-tailed) .370 .341 .000 N 87 92 96 hours_per_day Pearson Correlation -.143a -.149 .285 Sig. (2-tailed) .187 .156 .005 N 87 92 96 healthcare_apps Pearson Correlation 1a .062 -.444 Sig. (2-tailed) .569 .000 N 87 86 86 game_based Pearson Correlation .062a 1 .012 Sig. (2-tailed) .569 .914 N 86 92 88 search_tool Pearson Correlation -.444a .012** 1** Sig. (2-tailed) .000 .914 N 86 88 96 social_networking Pearson Correlation -.358a -.471 -.271 Sig. (2-tailed) .001 .000 .008 N 87 90 94 news_apps Pearson Correlation -.286a -.304 -.036 Sig. (2-tailed) .007 .004 .728 N 87 90 96 Using Pearson Correlation -.313a .035 .309 Sig. (2-tailed) .003 .740 .002 N 87 92 96 monitoring_health Pearson Correlation -.017* .280* .162* Sig. (2-tailed) .873 .007 .116 N 87 90 96 manage_medication Pearson Correlation .016** .250** .274 Sig. (2-tailed) .885 .016 .007 This correlation data chart is correlating the health care app, game based app and the usage of search tool apps with the other statistical variables lined into the left side of the chart. Correlations social_networking news_apps using Smartphone Pearson Correlation . .a .a Sig. (2-tailed) .000 .000 .000 N 103 105 110 Platform Pearson Correlation .145a .121 -.115 Sig. (2-tailed) .145 .219 .231 N 103 105 110 hours_per_day Pearson Correlation .035a .167 -.166 Sig. (2-tailed) .726 .089 .084 N 103 105 110 healthcare_apps Pearson Correlation -.358a -.286 -.313 Sig. (2-tailed) .001 .007 .003 N 87 87 87 game_based Pearson Correlation -.471a -.304 .035 Sig. (2-tailed) .000 .004 .740 N 90 90 92 search_tool Pearson Correlation -.271a -.036** .309** Sig. (2-tailed) .008 .728 .002 N 94 96 96 social_networking Pearson Correlation 1a -.202 -.045 Sig. (2-tailed) .043 .651 N 103 101 103 news_apps Pearson Correlation -.202a 1 -.005 Sig. (2-tailed) .043 .960 N 101 105 105 Using Pearson Correlation -.045a -.005 1 Sig. (2-tailed) .651 .960 N 103 105 110 monitoring_health Pearson Correlation -.125* -.096* .065* Sig. (2-tailed) .211 .331 .503 N 101 105 108 manage_medication Pearson Correlation -.208** -.067** .126 Sig. (2-tailed) .035 .495 .188 This correlation data chart is correlating the social networking apps, new apps and the using apps with the other statistical variables lined into the left side of the chart. Correlations monitoring_health manage_medication consulting_healthcare_professional Smartphone Pearson Correlation .206 .330a -.229a Sig. (2-tailed) .029 .000 .014 N 112 114 114 Platform Pearson Correlation -.223a -.251 -.066 Sig. (2-tailed) .021 .008 .491 N 108 110 110 hours_per_day Pearson Correlation -.209a .006 .116 Sig. (2-tailed) .030 .954 .229 N 108 110 110 healthcare_apps Pearson Correlation -.017a .016 .109 Sig. (2-tailed) .873 .885 .316 N 87 87 87 game_based Pearson Correlation .280a .250 .048 Sig. (2-tailed) .007 .016 .651 N 90 92 92 search_tool Pearson Correlation .162a .274** -.182** Sig. (2-tailed) .116 .007 .076 N 96 96 96 social_networking Pearson Correlation -.125a -.208 .007 Sig. (2-tailed) .211 .035 .945 N 101 103 103 news_apps Pearson Correlation -.096a -.067 -.102 Sig. (2-tailed) .331 .495 .300 N 105 105 105 Using Pearson Correlation .065a .126 .106 Sig. (2-tailed) .503 .188 .269 N 108 110 110 monitoring_health Pearson Correlation 1* .463* -.085* Sig. (2-tailed) .000 .375 N 112 112 112 manage_medication Pearson Correlation .463** 1** -.075 Sig. (2-tailed) .000 .425 This correlation data chart is correlating the monitoring health app, manage medication and consulting healthcare professionals with the other statistical variables lined into the left side of the chart (9). Correlations different_medicines take_medication forget Smartphone Pearson Correlation .138 .255a .a Sig. (2-tailed) .144 .006 .000 N 113 114 98 Platform Pearson Correlation -.091a .090 .143 Sig. (2-tailed) .349 .351 .160 N 109 110 98 hours_per_day Pearson Correlation .289a .032 -.268 Sig. (2-tailed) .002 .743 .008 N 109 110 98 healthcare_apps Pearson Correlation -.267a -.146 .025 Sig. (2-tailed) .012 .177 .828 N 87 87 78 game_based Pearson Correlation -.222a .189 -.174 Sig. (2-tailed) .033 .072 .124 N 92 92 80 search_tool Pearson Correlation .440a -.058** .016** Sig. (2-tailed) .000 .576 .883 N 95 96 86 social_networking Pearson Correlation -.058a .132 .080 Sig. (2-tailed) .562 .183 .449 N 102 103 91 news_apps Pearson Correlation .256a -.100 .020 Sig. (2-tailed) .009 .309 .848 N 104 105 95 Using Pearson Correlation .127a .204 -.167 Sig. (2-tailed) .188 .032 .101 N 109 110 98 monitoring_health Pearson Correlation .249* .271* .142* Sig. (2-tailed) .008 .004 .162 N 111 112 98 manage_medication Pearson Correlation .280** .479** .122 Sig. (2-tailed) .003 .000 .232 This correlation data chart is correlating the different medicines, taking medicines and the forget mentality with the other statistical variables lined into the left side of the chart. Correlations side_effects feel_well_enough lack_of_time Smartphone Pearson Correlation -.026 .203a .a Sig. (2-tailed) .812 .300 .000 N 86 28 13 Platform Pearson Correlation .141a .030 -.319 Sig. (2-tailed) .200 .885 .288 N 84 26 13 hours_per_day Pearson Correlation -.200a -.446 .509 Sig. (2-tailed) .068 .022 .076 N 84 26 13 healthcare_apps Pearson Correlation .217a -.830 .091 Sig. (2-tailed) .083 .000 .791 N 65 19 11 game_based Pearson Correlation -.093a .071 .284 Sig. (2-tailed) .455 .760 .370 N 67 21 12 search_tool Pearson Correlation -.326a .152** -.010** Sig. (2-tailed) .005 .522 .973 N 72 20 13 social_networking Pearson Correlation .086a -.048 -.415 Sig. (2-tailed) .456 .814 .159 N 77 26 13 news_apps Pearson Correlation .024a -.059 .020 Sig. (2-tailed) .829 .784 .948 N 81 24 13 Using Pearson Correlation -.091a .609 -.348 Sig. (2-tailed) .413 .001 .243 N 84 26 13 monitoring_health Pearson Correlation -.259* -.030* -.141* Sig. (2-tailed) .016 .885 .646 N 86 26 13 manage_medication Pearson Correlation -.025** -.238** .563 Sig. (2-tailed) .816 .223 .045 This correlation data chart is correlating the side effects, feel well enough and the lack of time with the other statistical variables lined into the left side of the chart. Correlations no_improvement lack_of_understanding dosage_form_inappropriate Smartphone Pearson Correlation . -.357a .a Sig. (2-tailed) .000 .004 .000 N 24 62 27 Platform Pearson Correlation -.160a -.019 -.530 Sig. (2-tailed) .455 .885 .004 N 24 58 27 hours_per_day Pearson Correlation .582a .545 .250 Sig. (2-tailed) .003 .000 .209 N 24 58 27 healthcare_apps Pearson Correlation -.388a .280 -.123 Sig. (2-tailed) .082 .069 .566 N 21 43 24 game_based Pearson Correlation .329a .172 .177 Sig. (2-tailed) .126 .238 .409 N 23 49 24 search_tool Pearson Correlation -.283a -.132** .126** Sig. (2-tailed) .214 .366 .531 N 21 49 27 social_networking Pearson Correlation .296a -.361 -.122 Sig. (2-tailed) .160 .009 .545 N 24 51 27 news_apps Pearson Correlation -.282a .202 .000 Sig. (2-tailed) .203 .147 1.000 N 22 53 27 Using Pearson Correlation .503a .046 .000 Sig. (2-tailed) .012 .734 1.000 N 24 58 27 monitoring_health Pearson Correlation -.079* -.280* .231* Sig. (2-tailed) .727 .030 .245 N 22 60 27 manage_medication Pearson Correlation .160** -.208** .581 Sig. (2-tailed) .456 .105 .001 This correlation data chart is correlating no improvement, lack of understanding and the doses form with the other statistical variables lined into the left side of the chart (11). Correlations strategy_to_take helping_adherence adherence_to_medication Smartphone Pearson Correlation .389 .188a -.067a Sig. (2-tailed) .000 .046 .481 N 108 114 114 Platform Pearson Correlation .032a -.150 .037 Sig. (2-tailed) .749 .117 .700 N 104 110 110 hours_per_day Pearson Correlation -.018a -.029 .057 Sig. (2-tailed) .857 .765 .555 N 104 110 110 healthcare_apps Pearson Correlation .292a -.205 .191 Sig. (2-tailed) .008 .057 .076 N 81 87 87 game_based Pearson Correlation .040a -.042 -.327 Sig. (2-tailed) .716 .691 .001 N 86 92 92 search_tool Pearson Correlation -.281a -.234** -.347** Sig. (2-tailed) .007 .022 .001 N 90 96 96 social_networking Pearson Correlation .108a .379 .423 Sig. (2-tailed) .294 .000 .000 N 97 103 103 news_apps Pearson Correlation .019a -.072 -.286 Sig. (2-tailed) .853 .465 .003 N 99 105 105 Using Pearson Correlation -.210a .032 .084 Sig. (2-tailed) .032 .737 .385 N 104 110 110 monitoring_health Pearson Correlation .218* .003* -.378* Sig. (2-tailed) .025 .978 .000 N 106 112 112 manage_medication Pearson Correlation .190** .063** -.278 Sig. (2-tailed) .049 .505 .003 This correlation data chart is correlating strategy to take, helping adherence and adherence to medication with the other statistical variables lined into the left side of the chart. Correlations recommending_external_device promoted_by_professional used_app_by_the_public Smartphone Pearson Correlation -.033 .042a -.102a Sig. (2-tailed) .726 .661 .279 N 114 113 114 Platform Pearson Correlation -.252a -.207 .231 Sig. (2-tailed) .008 .031 .015 N 110 109 110 hours_per_day Pearson Correlation -.081a .060 .056 Sig. (2-tailed) .398 .534 .559 N 110 109 110 healthcare_apps Pearson Correlation .132a .035 .186 Sig. (2-tailed) .224 .746 .085 N 87 87 87 game_based Pearson Correlation -.134a -.144 -.210 Sig. (2-tailed) .203 .171 .044 N 92 92 92 search_tool Pearson Correlation -.146a -.116** -.250** Sig. (2-tailed) .155 .264 .014 N 96 95 96 social_networking Pearson Correlation .056a .049 .191 Sig. (2-tailed) .576 .628 .053 N 103 102 103 news_apps Pearson Correlation -.158a -.038 .171 Sig. (2-tailed) .108 .704 .081 N 105 104 105 Using Pearson Correlation .039a .073 -.020 Sig. (2-tailed) .685 .452 .836 N 110 109 110 monitoring_health Pearson Correlation .204* .226* -.155* Sig. (2-tailed) .031 .017 .102 N 112 111 112 manage_medication Pearson Correlation .212** .268** -.243 Sig. (2-tailed) .024 .004 .009 This correlation data chart is correlating recommending external advice, promoted by professional and usage by the public with the other statistical variables lined into the left side of the chart. Correlations aid_medication_adherece ease_of_use reliability_security Smartphone Pearson Correlation .012 .179a -.176a Sig. (2-tailed) .896 .057 .069 N 114 113 108 Platform Pearson Correlation -.166a -.154 .121 Sig. (2-tailed) .082 .110 .222 N 110 109 104 hours_per_day Pearson Correlation .318a -.055 -.317 Sig. (2-tailed) .001 .570 .001 N 110 109 104 healthcare_apps Pearson Correlation -.155a .254 .171 Sig. (2-tailed) .151 .018 .118 N 87 87 85 game_based Pearson Correlation -.404a .013 .226 Sig. (2-tailed) .000 .900 .034 N 92 91 88 search_tool Pearson Correlation .282a -.234** -.207** Sig. (2-tailed) .005 .023 .045 N 96 95 94 social_networking Pearson Correlation .338a -.126 -.037 Sig. (2-tailed) .000 .207 .714 N 103 102 101 news_apps Pearson Correlation -.035a -.033 -.057 Sig. (2-tailed) .724 .738 .575 N 105 104 101 Using Pearson Correlation .297a .059 -.022 Sig. (2-tailed) .002 .542 .824 N 110 109 104 monitoring_health Pearson Correlation -.099* .256* .093* Sig. (2-tailed) .301 .007 .342 N 112 111 106 manage_medication Pearson Correlation -.112** .201** -.277 Sig. (2-tailed) .234 .033 .004 This correlation data chart is correlating aid medication adherence, ease of use and security reliability with the other statistical variables lined into the left side of the chart. Correlations regulated_information cost fun impact_on_battery_life Smartphone Pearson Correlation -.211 .169a .092a .058a Sig. (2-tailed) .032 .089 .353 .558 N 104 103 105 103 Platform Pearson (3) Correlation -.029a .027 -.095 .021 Sig. (2-tailed) .773 .789 .345 .838 N 100 99 101 99 hours_per_day Pearson Correlation -.194a .331 .148 .132 Sig. (2-tailed) .053 .001 .139 .192 N 100 99 101 99 healthcare_apps Pearson Correlation .346a -.356 .041 -.256 Sig. (2-tailed) .001 .001 .710 .020 N 83 82 84 82 game_based Pearson Correlation -.057a -.067 .150 -.059 Sig. (2-tailed) .607 .544 .169 .592 N 85 84 86 84 search_tool Pearson Correlation .162a .176** .002** .030** Sig. (2-tailed) .128 .100 .983 .780 N 90 89 91 89 social_networking Pearson Correlation -.369a .292 .119 .083** Sig. (2-tailed) .000 .004 .244 .423 N 97 96 98 96 news_apps Pearson Correlation -.108a .006 -.213 .096** Sig. (2-tailed) .292 .953 .035 .353 N 97 96 98 96 Using Pearson Correlation -.149a -.021 .119 .088** Sig. (2-tailed) .140 .833 .236 .385 N 100 99 101 99 monitoring_health Pearson Correlation -.133* -.052* .177* -.093 Sig. (2-tailed) .183 .605 .074 .354 N 102 101 103 101 manage_medication Pearson Correlation -.338** .376** .308 -.114 Sig. (2-tailed) .000 .000 .001 .254 Correlations manage_medicine_via_app concern regulated training Smartphone Pearson Correlation -.123 -.105a -.135a -.139a Sig. (2-tailed) .192 .267 .153 .142 N 114 114 114 114 Platform Pearson Correlation -.214a -.005 -.040 -.146 Sig. (2-tailed) .025 .959 .682 .128 N 110 110 110 110 hours_per_day Pearson Correlation -.029a .023 .028 -.062 Sig. (2-tailed) .763 .812 .768 .519 N 110 110 110 110 healthcare_apps Pearson Correlation .173a .286 .237 -.053 Sig. (2-tailed) .109 .007 .027 .627 N 87 87 87 87 game_based Pearson Correlation -.040a .155 -.060 .025 Sig. (2-tailed) .705 .139 .569 .813 N 92 92 92 92 search_tool Pearson Correlation -.195a -.059** -.150** -.018** Sig. (2-tailed) .056 .570 .145 .861 N 96 96 96 96 social_networking Pearson Correlation -.181a -.198 .042 -.081** Sig. (2-tailed) .067 .045 .670 .415 N 103 103 103 103 news_apps Pearson Correlation -.038a .017 .042 -.094** Sig. (2-tailed) .697 .861 .672 .342 N 105 105 105 105 Using Pearson Correlation .254a -.334 -.082 .388** Sig. (2-tailed) .008 .000 .396 .000 N 110 110 110 110 monitoring_health Pearson Correlation .041* -.101* .045* .040 Sig. (2-tailed) .670 .292 .638 .676 N 112 112 112 112 manage_medication Pearson Correlation .186** -.027** -.103 .255 Sig. (2-tailed) .048 .774 .277 .006 Correlations sex age experience Smartphone Pearson Correlation -.041 .316a .324a Sig. (2-tailed) .664 .001 .000 N 114 114 114 Platform Pearson Correlation -.225a .070 .015 Sig. (2-tailed) .018 .465 .876 N 110 110 110 hours_per_day Pearson Correlation -.054a -.351 -.244 Sig. (2-tailed) .578 .000 .010 N 110 110 110 healthcare_apps Pearson Correlation -.224a -.221 -.303 Sig. (2-tailed) .037 .039 .004 N 87 87 87 game_based Pearson Correlation .159a -.274 -.204 Sig. (2-tailed) .131 .008 .051 N 92 92 92 search_tool Pearson Correlation .187a -.094** .053** Sig. (2-tailed) .068 .364 .605 N 96 96 96 social_networking Pearson Correlation -.223a .247 .215 Sig. (2-tailed) .024 .012 .029 N 103 103 103 news_apps Pearson Correlation .145a .031 .074 Sig. (2-tailed) .140 .751 .455 N 105 105 105 Using Pearson Correlation .218a .475 .512 Sig. (2-tailed) .022 .000 .000 N 110 110 110 monitoring_health Pearson Correlation .261* -.025* .006* Sig. (2-tailed) .005 .797 .950 N 112 112 112 manage_medication Pearson Correlation .306** -.009** -.042 Sig. (2-tailed) .001 .921 .654 This correlation data chart is correlating sex, age and experience of people with the other statistical variables lined into the left side of the chart. Automatic Linear Modeling Case Processing Summary N Percent Included 114 100.0% Excluded 0 0.0% Total 114 100.0% After analyzing all possible given data the Automatic Linear Modeling shows the above case processing summary which included the all 114 people taken in the survey (17). The Model summary of the analysis shows the way all the result of the data analysis based on every aspect (6). Discussion The discussion part is divided in two different analyses. The Analysis of variance (ANOVA) and Partial Correlation Method is specifically used to discuss the topic of using health care application in smart phone. Analysis of variance (ANOVA) Through Analysis of variance (ANOVA) a certain specific procedure to analyze the particular differences between means of each group and the related associated variance. In this analysis the group means help to elaborate the discussion section in a particular and statistical way (13). To relate several parameters under a section it can be said the total statistical part is a little complicated. However, it is very essential for understanding the different responses related with the different people. The variables and the group means helps to understand every aspects of the data part related with the apps. Through the unanimous discussion of the output of the several parameters a conclusive point can be determined. The interrelation of the given data has extracted the importance of the application which can provide medical health care through smart phone at any point or any situation (2). Analysis of variance (ANOVA) which is purposefully used to show the sum of squares, df, mean squar e and the f of the given parameters like smart phone, the given platform, the usage of per hours, the health care app, game based app, the usage of search tool apps, the social networking apps, new apps, the using apps, the monitoring health app, manage medication, consulting healthcare professionals, the different medicines, taking medicines, the forget mentality the side effects, feel well enough, the lack of time no improvement, lack of understanding, the doses strategy to take, helping adherence, adherence to medication recommending external advice, promoted by professional, usage by the public aid medication adherence, ease of use and security reliability sex, age and experience of people. All the sufficient data and analysis are supporting for the application to be used among the people through smart phone (16). Partial correlation analysis Partial correlation is used to measure the specific degree of association between two random variables. In this case the essence of this specific method is quite important to show the importance of the app in the life of common people (8). For the essential statistics needed to sum up the process to obtain the result are very vital for the very cause. Through this method the number of surveyor, Pearson Correlation and significance is concluded of several variables given in the research such as smart phone, the given platform, the usage of per hours, the health care app, game based app, the usage of search tool apps, the social networking apps, new apps, the using apps, the monitoring health app, manage medication, consulting healthcare professionals, the different medicines, taking medicines, the forget mentality the side effects, feel well enough, the lack of time no improvement, lack of understanding, the doses strategy to take, helping adherence, adherence to medication recommendi ng external advice, promoted by professional, usage by the public aid medication adherence, ease of use and security reliability sex, age and experience of people. The results also help to achieve to a certain point to define whether it is important for people to accept the mobile application which provides support heath care (20). Automatic Linear Modeling and Model summary Automatic Linear Modeling generally ensures the processing summary of the whole method supporting the decision. The model summary shows the accuracy is 58.4 percent which is quite good response respective of the analysis done on people. These parameters and statistical logistics are also supporting for the use of the heath care application to a certain extent (14). Questionnaire Designs and Result Analysis As per the design of the questionnaire, it is prepared in such way that it contains the opinions of the pharmacists in support with the medication application. Out of 250 questionnaires, the pharmacies community of Liverpool provided their specific and valuable views. Mainly the important sections established in the questionnaires are the medication adherence, self-care, background status, demographic data and usability of the application. Questionnaires Results How many of the patients use Smart Phone? It has been found from the analysis that 58% of the patients uses smart phone. But most of them are not brand concern because the brand does not effects the use of health care application Do you use the application for at least 4 hours a day ? We figured out that almost 32 percent of the patients that are using these application for medical help, often uses this for more than 4 hours Does the health care app provide effective search tool? The health care app that is used by most of the patients in todays world. Out of the total respondents only few of them stated that the app provides effective search tool options Do the health app supports the social media networking? It was found out that a huge number of people use this health care app as it supports social media networking techniques. Nearly 42 percent of the respondents like the above technique that was figured out in the survey Does the app also support different medical related news application? Nearly 65% of the people are in love with the medical application that is supported in their Smartphone as it also provide several news application that I loved by almost 70% of the people using this app Does the app provide effective monitoring health facility? Most of the users that are using the health care application feels that the app provides quite effective monitoring facilities that help them in all respect. Almost 51% of the people believe so out of the total respondents that participated in the feedback process Is the app successful in managing the medication procedure? The Medicare health app is quite effective in maintaining and managing the medication procedure as there are very few respondents that feel this app to effective enough Does the app incorporate consultation of doctors? Most of the users of this app are quite happy with the consultation feature of this app as they receive all the effective feedbacks from the doctors that is much more important than anything else. Does the app include different consulting healthcare professionals? Nearly 70% of the respondents feels that this health care application is quite helpful for them as it provides them with all the important tips of the healthcare professionals Does the app provide the specifications of different medicines? Many respondents in the survey feel that the app to be quite effective as it provides all the specifications of the medical that is required by the patient. Does the application state the side effect of different medicines? The maximum number of respondents like the application for this feature as it explains all the side effects that goes along with the medicine Does the patient feel good enough after using the application Most of the respondents feel the application to be very helpful and at the same time quite information that provides them security and safety in all aspects Does the app run successfully in all smart phones? There are many people that are using this application. Many of the respondents stated this application to be user-friendly as it is installed in almost every type of Smartphone. Do the patients feel comfortable using the application? Most of the patients that uses this application is above 40 years age and hence most of them feel it difficult to use this app irrespective of an user friendly approach Is the app helpful to adheres medication to the patients? About 40 percent of the patients believe that this app is quite helpful in adhering medication for the patients in all respect Does other medical professional suggest other external devices? There are very few people that are using the app has stated the app which provides many other external devices How many of you feel the application to be effective? Nearly 70% of the people that are using this medical application feel the application to be quite effective for medical purpose Does u feel that the app provides reliability and security? Only a few percentages of people fill that the medical application provider better security and reliability to the sources. Does the application provide adequate and regulated information? Nearly 70% of the people feel that the medical application provide the patient with types of regulated and adequate information Does the application help the patients with regular tips and advices? Most of the patients feel that the application provides the user with regular updates and advices on medical techniques Analysis of the above questionnaires It has been found from the analysis that 58% of the patients uses smart phone. But most of them are not brand concern because the brand does not affects the use of health care application We figured out that almost 32 percent of the patients that are using these applications for medical help often use this for more than 4 hours. The health care app that is used by most of the patients in todays world. Out of the total respondents only few of them stated that the app provides effective search tool options. It was found out that a huge number of people use this health care app as it supports social media networking techniques. Nearly 42 percent of the respondents like the above technique that was figured out in the survey. Nearly 65% of the people are in love with the medical application that is supported in their Smartphone as it also provide several news application that I loved by almost 70% of the people using this app. Most of the users that are using the health care application feels that the app provides quite effective monitoring facilities that help them in all respect. Almost 51% of the people believe so out of the total respondents that participated in the fe edback process. The Medicare health app is quite effective in maintaining and managing the medication procedure as there are very few respondents that feel this app to effective enough. Most of the users of this app are quite happy with the consultation feature of this app as they receive all the effective feedbacks from the doctors that is much more important than anything else. Nearly 70% of the respondents feel that this health care application is quite helpful for them as it provides them with all the important tips of the healthcare professionals. Many respondents in the survey feel that the app to be quite effective as it provides all the specifications of the medical that is required by the patient. The maximum number of respondents like the application for this feature as it explains all the side effects that go along with the medicine. Most of the respondents feel the application to be very helpful and at the same time quite information that provides them security and safet y in all aspects. There are many people that are using this application. Many of the respondents stated this application to be user-friendly as it is installed in almost every type of Smartphone. Most of the patients that uses this application is above 40 years age and hence most of them feel it difficult to use this app irrespective of an user friendly approach. About 40 percent of the patients believe that this app is quite helpful in adhering medication for the patients in all respect. There are very few people that are using the app has stated the app which provides many other external devices. Nearly 70% of the people that are using this medical application feel the application to be quite effective for medical purpose. Only a few percentages of people fill that the medical application provider better security and reliability to the sources. Nearly 70% of the people feel that the medical application provides the patient with types of regulated and adequate information. Most of the patients feel that the application provides the user with regular updates and advices on medical techniques. Now if we come in to the result part the Analysis of variance (ANOVA) and the Partial correlation suggests many definite proportion of the result that is shown in the chart. Broader analysis of result is done in the chart section and that showed most of the sections out of the five such as medication adherence, self-care, background status, demographic data and usability of the application giving out positive sort of results by the pharmacies community to implement the application for the Medicare sector. Lots of complicated results have also come out from the process and many of them does not need to be taken under consideration as the result has bare minimum effect on the whole process. Also the model summary shows the accuracy is 58.4 percent which is a moderate result summery though the number is above 50 percent which shows positivity to the most of the 250 questionn aires. Conclusion As per the analysis and the discussion part it has to be ensured that the healthcare app in the smart phone is a very good technology for mankind. The common people in the busy and hectic sort of life style will find the application more suitable to use. As the data and charts statistically shows the preference of smart phone holder with using the specific apps along with other apps (15). Also by discussing the efficiency of taking medicines at times, the forgetful nature of common people to take medicines and check health related problems the Medicare app will be very important in the near future. Additionally human are depending more and more on technology and gadgets. Therefore it will be easy to maintain the Medicare help in the hectic life. Also the essentiality of measuring many aspects of body is providing support for the application. Monitoring health through the app will prove a success as the specific app can check several physical data like heart beat monitoring, blood pre ssure, analyzing gasping states of body, excess stress level as well as several reminders like taking medicines, measuring distances covered by walking and running, importance of many biological issues affecting the human body in several circumstances. Following to all of the survey work and the statistical analysis and the discussion portion one have to certainly believe the necessity of the app relating to health care. According to the data it is quite clear that the issuing healthcare application in the smart phone will definitely show the possibilities of the app in several lives saving aspect too. As the developing technology has taken the health care sector to a possible height similarly the possibilities are quite clear that the particular smart phone app has every chance to make a vital impact by guiding human life to maintain a good habit to maintain a healthy life style. The human life will be certainly benefited by using the apps as it can add much important information r egarding to the health in an electrical way. Every part of the statistical part is providing support to the possibilities. As in a hectic working life human is used to go through a quite stressful life therefore the possibilities of physical attention is becoming lesser important in the life. In this situation the app can be proved to be most essential support system for human life. However the application can supply most of the vital information to lead a healthy life. The usefulness of it is quite significant that can be rest assured. Therefore after all the analysis it can be concluded that using health care application in smart phone is really an essential suggestion. References 1. Armoni A. Healthcare information systems. Hershey, Pa.: Idea Group Pub.; 2000.2. Martin C, Preedy V. Scientific basis of healthcare. Jersey, British Channel Islands: Science Publishers; 2012.3. Schouten B, Fedtke S, Schijven M, Vosmeer M, Gekker A. Games for Health 2014.4. Basu A, Polsky D, Manning W. Use of propensity scores in non-linear response models. Cambridge, Mass.: National Bureau of Economic Research; 2008.5. 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