This report investigates the gender pay gap using statistical analysis on two datasets, one from the Australian Taxation Office (ATO) and another collected via a survey. Descriptive statistics, including grouped bar charts and numerical summaries, reveal that males generally earn higher salaries with greater standard deviation. Inferential statistics, such as Z-tests and t-tests, are employed to test hypotheses regarding gender proportions in occupations and average salary differences. The analysis indicates that males dominate certain occupations like machinery operation, and their average salaries are significantly higher than females in the ATO dataset, but no significant difference was found in the survey dataset. The report concludes that while a gender pay gap is evident in the larger dataset, it's not consistently observed across all datasets. Future research could benefit from larger sample sizes and the inclusion of variables like experience, education, and job designation.