This report presents a statistical modeling assignment focusing on data collection, analysis, interpretation, and inference. The assignment utilizes two datasets: one examining the relationship between gender and salary, and another exploring sustainable economic development across different countries. The report is divided into four sections: introduction, descriptive statistics, inferential statistics, and discussion and conclusion. Descriptive statistics, including bar graphs, scatter plots, and numerical summaries, are used to analyze the data, revealing insights into salary disparities and the relationship between salary and gifts. Inferential statistics involve hypothesis testing and ANOVA to draw conclusions about population parameters, such as gender-based salary differences and the proportion of male machine operators and drivers. The final section discusses the findings, including pay parity, salary-gift relationships, and educational levels in Africa, and suggests further research directions. The report demonstrates the application of statistical methods to derive meaningful insights and inform data-driven decision-making.