This business analytics report investigates the gender wage gap using a dataset of wages among men and women. The analysis employs descriptive statistics (mean, frequencies, percentages) and inferential statistics, including t-tests and correlations, to test the hypothesis that the gender wage gap is not statistically different from zero. The report includes data visualizations (scatter plots, histograms, line graphs, pie charts) created using Microsoft Excel. The literature review explores the significance of data in decision-making, particularly in policymaking, emphasizing the increasing participation of women in the labor market and factors influencing wage differences. The findings reveal differences in wages, age, and educational attainment between genders. The report concludes that there is no statistically significant difference between women's and men's wages and educational attainment. The study also analyses skewed distribution of the data.