BUS708: Inferential Statistics Report on Mobile App Data Analysis

This report presents a statistical analysis of mobile app data, addressing several research questions using both primary and secondary datasets. The analysis includes numerical summaries, graphical representations (pie charts, box plots, and scatter plots), and inferential statistical methods such as hypothesis testing (t-tests, ANOVA, and Chi-square tests) and regression analysis. The report investigates the proportion of free Google apps, the price of paid apps after outlier removal, price differences among app categories (communication, games, and tools), the relationship between app ratings and reviews, and whether international students from different countries tend to use different communication apps. The findings are interpreted to draw conclusions and provide insights related to app usage and user behavior, referencing relevant statistical concepts and techniques throughout the analysis.