This assignment presents a comprehensive data analysis of business-related data, focusing on hourly wage comparisons between genders and the relationship between education levels and income. The solution utilizes statistical methods, including histograms, z-tests, and t-tests, to examine the data and draw conclusions. The analysis includes hypothesis testing to determine if significant differences exist in hourly wages and education levels between males and females. Eviews output is provided and interpreted to support the findings. The assignment also addresses the normality of data distributions and statistical significance, providing a practical application of data analysis techniques within a business context. The assignment covers concepts like mean, standard deviation, variance, p-value, and critical value, and it rejects or accepts null hypotheses based on the statistical outcomes.
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