This report presents a comprehensive analysis of salary data in Australia, focusing on the relationships between gender, occupation, and income. The study utilizes two datasets: one from the Australian Taxation Office (ATO) and another collected through a survey. The analysis employs descriptive statistics, including bar graphs, pie charts, and numerical summaries, to illustrate the distribution of salaries across different genders and occupations. Inferential statistics, such as one-sample Z-tests and two-sample t-tests, are used to determine significant differences in salary levels. The report investigates whether there are significant differences in average salaries between genders, examines the proportion of male machinery operators and drivers, and explores the top-earning occupations. The findings reveal discrepancies between the datasets, highlighting the importance of large sample sizes and comprehensive data collection for accurate and generalizable results. The report concludes with a discussion of the results, limitations, and recommendations for future research.