The present study shows data for the weight lost by people who have been taking medications to treat overweight and obesity for the last three months. A nutrition researcher is interested in knowing if there is a significant difference in weight loss that results from three FDA approved medications to treat overweight and obesity. The nutrition researcher records data for people who have been taking the medications for the last three months and have not been on any diets.We will use the Excel Data Analysis Add-in to find the average weight loss for each of the medications, the sum of squares between groups, within groups and the total sum of squares. We will also find the mean sum of squares between groups, within groups and the total sum of squares. We will perform a hypothesis test to test if the average weight loss is the same. We will compare the test statistic with a critical value(s) and decide if we should reject or not reject the null hypothesis. We will use different alpha levels to test the hypothesis. We will find the observed level of significance and use it to make conclusions about the claim. We will identify possible errors made. Assume that the distribution of the weight loss for the three populations is normal and the samples are randomly selected.