SPSS Project:
Mobile Shopping

Econometrics

Table of content

1 Introduction 1
2 Questionnaire: Mobile … 1
3 Descriptive and demographic data 1
4 Hypothesis 1
4.1 Hypothesis 1: 1
4.2 Hypothesis 2: 1
4.3 Hypothesis 3: 1
4.4 Hypothesis 4: 1
5 Conclusion 1
References 2
Appendix II

1 Introduction

With more than 1.08 billion smartphone users in the world, the mobile world and especially the smartphone consumption is expanding at a rapid pace. For what do people use its mobile devices? Just for talking or even to make purchase decisions inside a physical store? What role does the people’s age play in this investigation?
In order to understand the world of smartphone users, we applied some meaningful data from the Princeton Survey Research Associates International (PSRAI) about the device ownership and cell phone usage during purchase decisions and analyzed it with SPSS.
Having observed and compared the data, we used statistical test of hypotheses to receive decision rules for such equitation. First of all we formulated some null hypotheses (Ho), which states that there is difference from the hypothesized value and the corresponding alternative hypotheses (H1) the opposite of the null hypotheses. Since we will never know for sure which of the two hypotheses is true, our decision will include errors: Type 1 Error and Type 2 Error. The lowest level of significance tells us the lowest desired probability of a Type 1 Error and allows rejecting H0. This value is called the p-value. If the p-value is lower than the significance level 0, 05% the H0 can be refused. Furthermore we used descriptive statistics and cross tabulations to find solutions for general frequencies regarding the mobile utilization, age and gender.

2 Description of the questionnaire
The data collection