This assignment solution presents a comprehensive analysis of a dataset using various statistical techniques. It begins with an examination of the difference in Body Mass Index (BMI) between Osteoarthritis (OA) and control participants, employing a paired sample t-test after establishing the data's near-normal distribution. The analysis proceeds to assess heart rate changes before and after a 400-meter walk, again utilizing a paired sample t-test to determine significant differences. Furthermore, the solution investigates the impact of weight categories (obese, overweight, heavyweight) on the time to complete a 400-meter walk using ANOVA, and subsequently, the difference in 400m walk test times across three visits. Finally, the assignment explores the correlation between KOOS pain and function scores using a Pearson correlation test and simple regression analysis to determine the relationship between age and the time taken to complete the 400-meter walk. The document provides detailed interpretations of the results, including p-values, and decision rules for each test, offering a complete statistical analysis of the provided data.