A bi-variate t-test is instrumental in assessing if there's a variance in mean values between two distinct groups. My analysis will focus on discerning the mean age disparities between male and female myocardial infarction (MI) patients. To conduct this bi-variate t-test effectively, it's necessary to compute several statistical measures: the average age for each gender group, the variability of these averages, the standard error associated with the mean age, the t-value, the number of degrees of freedom, the threshold for statistical significance, and the corresponding p-value. Furthermore, I plan to create a pair of histograms for each gender, plotting age on the horizontal axis against frequency on the vertical axis. These visual representations will facilitate a comparison of the distribution patterns and asymmetry in the age data, enabling us to ascertain if a statistically meaningful age difference exists between male and female MI patients