Statistical Analysis with SPSS & STATA

This statistical data analysis explores key patterns, relationships, and trends in the dataset through descriptive and inferential statistics. The data is cleaned, transformed, and assessed for assumptions before analysis.

Descriptive statistics provided insights into distributions and central tendencies, while hypothesis tests (T-tests, ANOVA, and Chi-square) and regression models (linear, logistic) identified significant relationships. Advanced techniques like factor and cluster analysis further enhanced the findings.

The results are interpreted using statistical significance, confidence intervals, and visualizations. The study concludes with key insights, practical recommendations, and considerations for future research, leveraging the capabilities of SPSS and Stata.