A Mann-Whitney U Test analysis examining whether body weight differed between participants who regularly lift weights and those who do not. Findings indicate a statistically significant, large difference between the two groups, though the dataset contained some extreme values that may warrant further review.

An Independent T-Test analysis examining whether body weight differed between participants who regularly do cardio and those who do not. Findings indicate the difference was not statistically significant, though the effect size was medium.

A Wilcoxon Signed-Rank Test analysis examining whether body weight differed before versus after participants followed a keto diet. Findings indicate a statistically significant, large difference in weight, with participants weighing less after the diet.

A Dependent T-Test analysis examining whether body weight differed before versus after participants followed a low-calorie diet. Findings indicate the difference was not statistically significant, though the effect size was medium.

A Spearman correlation analysis examining the relationship between phone use and sleep duration. Findings indicate a statistically significant, strong, negative relationship between the two variables. As phone use increased, sleep duration decreased.

A Pearson correlation analysis examining the relationship between age and education using a sample dataset. Findings indicate a statistically significant, strong, positive relationship between the two variables.

A Pearson correlation analysis examining the relationship between age and education using a sample dataset. Findings indicate a statistically significant, strong, positive relationship between the two variables.

A Pearson correlation analysis examining the relationship between age and education using a sample dataset. Findings indicate a statistically significant, strong, positive relationship between the two variables.

A Spearman correlation analysis examining the relationship between phone use and sleep habits. Findings indicate a statistically significant, strong, negative relationship between the two variables. As phone use increased, sleep duration decreased.

A Pearson correlation analysis examining the relationship between age and years of education using a sample dataset. Findings indicate a statistically significant, strong, positive relationship between the two variables.

Examining whether there is an association between student nationality (domestic vs. international) and scholarship status using a Chi-Square Test of Independence.

Comparing this year's August ice cream flavor sales to last year's August expected distribution (20% chocolate, 20% strawberry, 20% mango, 40% vanilla) using a Chi-Square Goodness of Fit test.