Descriptive Statistics Analysis In Students' Mobile Usage In The University Of Southampton

3338 words - 13 pages

Descriptive Statistics Analysis in Students' Mobile Usage in the University of Southampton1.Introduction2.Data Analysis2.1Collection and Input of Data2.2General information2.2.1Gender analysis2.2.2Ownership analysis2.2.3Mobile band analysis2.2.4Network using situation analysis2.2.5Payment methods analysis2.2.6Monthly fees analysis2.3Correlation and Regression Analysis2.4Chi-Square Test3.Conclusion4.References5.Appendices5.1Appendices1 -- Investigation of students using mobilephone5.2Appendices2 -- Raw Data1. IntroductionMobile phone is one of the most popular communication tools used today in social life as well as in school. As we know almost all students have mobile phones, and those mobile phones vary from band, network, payment etc. At the same time we find that when students using pay monthly method, they tend to reduce the monthly fees with the increase time of usage. It is interesting to summarize the existing trend among mobile usage in students. This information is useful both for mobile network companies to make sales marketing decision and students in university to chose their own mobile usage combination according to the analysis results.In this project, first, we analyze the percentage of data. Then, we try to find out whether there is any association between the time of students' using mobile services and the monthly fees, gender and the monthly fees, pay method and the monthly fees. If there are such kinds of association, what kind of association it is.To accomplish this project successfully, we carried out the survey to collect relative data and information. Then descriptive statistics methods such as mean, variance, correlation, regression and Chic-Square are used to analyze those data .In addition, tabular, graphical methods are employed to describe the results of analysis. As the simplest and most convenient statistics tool, SPSS(Statistical Package for the Social Science) which is widely applied in the statistics field, is also made full use in our project. Through our calculations and analyses, we have found out lots of amusing ratios in different general information about students' using mobile in the University of Southampton, and the relationships between them, such as the negative association between the monthly fees of mobile service and the time of using.2. Data Analysis2.1 Collection and Input of DataIn order to collect useful data relative to this project, we create a questionnaire (see appendices 1) to carry out the survey among the students in the University of Southampton. The data on the question form gave most general features of mobile usage as following:*Mobile band such as Nokia, Motorola, Samsung etc.*Mobile network provide as abbreviated such as vodafone, O2 etc.*Payment method such as pay monthly and pay as go.*Monthly fees.*Time of using pay monthly.Questionnaires are handed out by the three remembers of the group randomly to the students in the University of Southampton. Totally there are 121 students...

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