The Sources of Information Accumulation - Experiment and Result - Case Study Example

The Sources of Information Accumulation - Experiment and Result Prior to undertaking the tests and results, it was critical to outline the investigation system and furthermore break down the outcomes after investigations. Prior to beginning that our first assignment was to gather the information which we would use for trials. At first, we discovered the diverse hotspots for information gathering. In a segment above we recognized the sources which existed for information accumulation. At that point, we chose the most proper information source and again, began chipping away at it in the accompanying area and put every one of the information on a table for the record. In the segment that tails we made a document and put every one of the information in that record and spare in a computer. Sources of data Information is very important, the most essential and imperative part of any examination ponders and can be characterized as the quantitative or subjective estimations of a variable. Essential information has not been changed or adjusted by individuals; in this way, its legitimacy is more prominent than optional information. Based on the parameters of this survey research, it was appropriate to used primary sources of data because the data that was being collected was mainly first hand from the interviewees and questionnaires. However much primary sources of data can be challenging in that is expensive and time consuming to collect compared to secondary sources, it was the most appropriate source in this survey for data collection. In carrying out any experiment it is important to do a research on the design, problems of the experiments and select sources of data collection as part of a procedure to avoid problems in the future during the new application development..Three categories of people were chosen. They included: public places (malls, parks), Colleges and universities and companies. Collection of data Based on the parameters of this survey research, it was appropriate to used primary data collection methods because the data that was being collected was mainly first hand from the interviewees and questionnaires. However much primary facts gathering is affluent and time overshadowing equated to secondary sources, it was the most appropriate in this survey for data collection. After collection, recording was accomplished through tabulation. The table underneath was made to record the statistics foundations, key establishments where facts can be composed, what kind of data was poised, setup, and pay and if it was fitting for the study. Data source name Source Organization(public, college, mall and company Data description. Data file format Charge fee Target data source Fact 1 Public How many users have smartphones? txt Free Yes Fact 2 Public What number of users are cognizant of health fitness applications existing on their phones? txt Free Yes Fact 3 Public What number of users take free applications? txt Free Yes Fact 4 Public What number follow these applications? txt Free Yes Fact 5 Public What number feel these apps are operative? txt Free Yes Fact 6 Public What number content with outcomes? txt Free Yes Storage of data After formation and conclusion of satisfying that table, the next stage was to gather facts and put them into alternative table. The new table encompassed the original fact that was collected from people. The number of data was recorded and kept for reference purposes and to avoid loss of these data. Data was saved in .txt formant due to a number of reasons that include: They are easy to open because they look the same on any system They are flexible: there is ease of being able to copy contents of .txt files into any document or application which contrasts that of specialized applications that use complex formats. They are fast: They do not have too fancy features such as pictures macros which can bog down large documents hence they open quickly and easily upon call. Name of data source Collection date Location of the saved file Name of the saved file Format of the saved file Data records present(number) Study from college 29/5/2016 //raw data/ Survey.txt txt 60 Study from public places 31/5/2016 //raw data/ Survey.txt txt 50 Study from companies 2/6/2016 //raw data/ Survey.txt txt 20 Design and application of experiments Data pre processing This involved the reading of original data clarifying the duplicity and void data, resampling of the fact and generation of a new data record in a new file. This was necessary because during the study, not all the people participating in the survey gave the answers to the questions they were asked. Some did not even give answers. Feature selection/data reduction From the results, features were selected and the numbers of random data were reduced from the study by making a table that shows the pre-manipulation and decrease of random data and created a new file from the survey assessment. The table appears as follows; Date Fact source name Purpose of pre-manipulation Method of pre-manipulating Original data records Results data records New data file name 3/6/2016 Fact 1 Missing fact cleaning Filtering of fact 130 107 Final_survey.txt 3/6/2016 Fact 2 Duplicity avoidance Decrease of fact 115 98 Final_survey.txt 3/6/2016 Fact 3 Selection of feature Combination of data 89 70 Final_survey.txt 3/6/2016 Fact 4 Filtering of the data Decrease of data 75 66 Final_survey.txt 3/6/2016 Fact 5 Cleaning of the data that is missing Data combination 50 35 Final_survey.txt 3/6/2016 Fact 6 Selection of feature Data decrease 50 20 Final_survey.txt Research design The sorts of inductions that can be drawn from wellbeing application studies are in a general sense subject to test outline. The plan utilized considered the quantity of wellbeing application clients, those mindful about wellbeing applications and the quantity of matured individuals with the know-how of these applications, the constraints of the exploratory framework, and the strategies that will be utilized to examine the information. Numerous examinations utilizing worldwide profiling approaches have been endangered by deficient thought of test configuration issues. Albeit exploratory outline for wellbeing applications remains a zone of dynamic research, various widespread standards have risen. Above all else is the estimation of expansive examining of arbitrary information variety. Numerous early analyses utilized extremely few examples to make firm inferences, principally in light of the expense. As the expense has declined, tests have started to incorporate inspecting conventions that give better gauges of irregular information and deliberate variety inside the information which has been utilized in this study. A second exercise that has developed is the requirement for deliberately coordinated controls and randomization in any review. Detailed design steps Experiments for this survey study were based on the proposed hybrid methodology. This method combines Qualitative and Quantitative approach in experimenting. For Qualitative approach, data was collected through in-depth interviews and use of well framed straight to the point questionnaires. Quality is brought about because the health application users were able to express their feelings, thoughts, opinions, and perceptions about these health applications. Quantitative approach used included; market sizing of these health applications, customer satisfaction, product and prototype testing, corporate identity and market segmentation. The quantitative approach emphasized on whether the qualitative survey was methodologically rigid, whether it produced decision grade and representative results testing. The entire procedure joined: information gathering, examination, looking of wellbeing applications from Google play store and I-tune store, contrasting the applications, assessing them and basing on the a poll was composed. The poll utilized for the examination had five primary inquiries. These inquiries were encircled in such a way, to the point that they would catch however much information as could be expected from the respondents. Prior to that review, some broad highlights were planned which were sorted by sexual orientation, age, training and foundation. These highlights made it simple to get the unpleasant thought regarding individuals and their inclinations. Furthermore, it turned out to be anything but difficult to decrease the measurements and highlight choice. Insights was utilized to record the outcomes. Question no. Question depiction Query 1 What number of users has smartphones? Query 2 What number of users aware of health fitness apps available on their mobile phones? Query 3 What numbers of users download free apps? Query 4 What numbers of users follow these apps? Query 5 What number of users feels these apps are effective? Query 6 What numbers of users are satisfied with results? Demographic information Sex Male Female Age assortment 18to25 26to35 36to45 Over 45years Schooling level High school College Diploma Graduation Masters Upbringing Scholar Housewife Businessperson Occupation The above demographic information made it easy to design the new application because it considered the background, education and age. Additional features could be included according to this information. Implementation After experimenting, it was necessary to implement it. In implementation, it was very necessary to store material in a table or a file to assess it in future and use them for crafting procedure of the new application. Software and tools used Technology can help you meet your constituents where they are and make sense of the information you collect from them. In analyzing the demographic and questionnaire results, quite a number of computer software tools were used. The software used included word application to create tables. Excel to create bar and pie charts. These software and their tools were important in analyzing the experimental data of health application records in the following ways: A pie chart presents data as an essential and direct picture. It has a tendency to be an effective specific device for even a dumbfounded assembling of individuals, since it addresses data ostensibly as a halfway bit of a sum. Perusers or gatherings of spectators see a data examination at first, enabling them to make an incite examination or to appreciate information quickly. This kind of data observation chart ousts the necessity for perusers to examine or measure basic numbers themselves. You can in like manner control bits of data in the pie drift to pressure guides you require toward making fundamental and clear picture. It addresses data apparently as a fragmentary bit of a whole, which can be a convincing specific instrument for the even confused gathering of spectators. It enables the social occasion of individuals to see a data connection at first to make a provoke examination or to fathom information quickly. The necessity for perusers to investigate or measure essential numbers themselves can be emptied by using this chart. To push guides you require toward make, you can direct minutes of proof in the pie chart.A visual drawing is a graphic type of quantifiable evidence in which the free feature can achieve just certain distinct potentials. The dependent variable might be distinct or dependable. In a vertical orientation diagram, approximations of the free feature are designed along an even hub from left to right. Demonstrate every datum classification in a recurrence dispersion, show relative numbers/extents of different classifications abridge a lot of information in a visual, effectively interpretable frame make patterns less demanding to feature than tables do assessments can be made rapidly and precisely allows visual direction on precision and sensibility of counts, available to a wide crowd Experiment results The results of this survey were collected and tabulated. The results involved putting of numbers and calculation of their percentages from the total of 130 participants. This was done after all the other processes of analyzing to remove unnecessary data, repeated data and void data. Demographic information records. Total number of participants=130 Features Responses N (%) Sex  Male  Female 75 (58%) 55 (42%) Age  18-25  26-35  36-45  Over 45 35(27%) 45(35%) 30(23%) 20(15%) Education  High school  Diploma  Graduation  Masters 27(21%) 22(17%) 46(35%) 35(27%) Background  Student  Housewife/Retire  Entrepreneur 40(31%) 15(11%) 35(27%)  Employee 40(31%) Survey questions and their responses. - Total number of participants=130 Questions Responses N (%) How many users have smartphones? 107 (82%) How many users aware of health fitness apps available on their mobile phones? 98 (75%) How many users download free apps? 70 (53%) How many follow these apps? 66 (51%) How many feel these apps are effective? 35 (27%) How many satisfy with results? 20 (15%) Result analysis Results estimation The results of this survey were mainly based on the 103 people involved in the data collection. The estimates of the survey result ideally are based on the sample data where percentages were taken be it of the demographic data or questionnaire data. The value of statistic derived from this survey on smart phone use in health was derived from a sample of people from a corresponding population parameter. The estimates of this result were important in that they would help in creation of a well decided upon application. The samples provided information that can be projected to determine a range that can most likely be used to describe the faults to the described problem. Today, there are many applications on health. They are very much diversified in terms of focus on health sections like; exercises, diet and water intake running and sleep behaviors. At least one third of the users are satisfied with these apps. However, other people like elder people and housewives are not interested in these apps and some are not aware of them. This information can therefore be projected through formal and informal processes. Estimating methods and techniques was used to help in cost estimation and breaking down of the survey experiment. There were quite a number of techniques to be used but the ones listed below were used due to their favorability in the different stages of the new application development. They include: Factor estimating: This technique allowed estimates to be made with limited accuracy but concurrently providing confidence for a go ahead to develop the application. This mainly incorporated the qualitative approach in collecting of data. Its advantages that triggered its used is that it was cheap, and gave quick results. Parametric estimation: This method of estimation incorporated the analyzing of cost, and technical data to identify price carters and advance c models. This was mainly triggered by the quantitative approach in hybrid methodology. The approach basically correlated cost and information collected with parameters describing them to be costed. It mainly enhances when it comes to choosing the best procedure for the new application. Detailed estimating: It closely relates to arranging, preparation and apportionment. Results summary This survey incorporated a different range of people who were categorized into different sections including; students, retired people, working people and those running their own businesses. The age range of the survey people lie between 18 and 45 years with both male and females incorporated. As per this survey, about twenty seven percent have smart phones, twenty five percent know about health applications, 17% take those applications and around the same proportion of those people uses those applications. 9% of those people fondled that these applications are operative but a solitary 5% of those people conveyed satisfaction on using these applications. The main gender participated was the male gender majority being graduates. The inference here is that most of the people aware of these health applications range between the age of 18 to 45 years of age where a majority is university and college graduates. Most elder people were not aware of these applications. The elder people provided a percentage of 15% meaning that most were not aware of the applications and for those who were aware, they do not know how to use them or they are not interested. The features used in collecting the demographic information was key in that it enabled the realization that the majority of the people who use the application lie between 18-45 years of age. In developing the new application, more emphasis is to be made on their opinions, feelings suggestions and criticism. Based on these results, the design of a new mobile phone application with new features is triggered. According to people’s preferences it should add new user-friendly defined features which will aim at improving on the current health applications to maximize on the users satisfaction and efficiency in betterment of the health care systems. Read More