Statistics Assignment: Hypothesis Testing and Data Interpretation

This statistics assignment presents a comprehensive analysis of survey data, employing various statistical techniques to draw meaningful conclusions. The assignment begins with descriptive statistics, including frequency distributions and graphical representations to understand the sample's characteristics. It proceeds to hypothesis testing, utilizing t-tests and z-tests to compare means and proportions across different groups, such as gender, marital status, and ethnicity. The analysis includes the calculation and interpretation of confidence intervals to estimate population parameters. Furthermore, the assignment explores relationships between variables using chi-square tests to assess the independence of categorical data. The student leverages SPSS output to support the statistical findings and provide evidence-based conclusions. The analysis covers topics such as mean life satisfaction, comparison between different groups, and exploring relationships between variables. The assignment aims to provide insights into the statistical analysis and interpretation of data.