“A hypothesis test study that would help my work with my clients would be focused on a weight loss regimen to reduce their health risk factors. Obesity is a major health problem today in itself and it can also increase the risk for other disease processes. The variable I would test would be, that clients will lose more weight on a low-carb diet compared to a low-fat diet. The response variable would be how many pounds are lost and the explanatory variable would be the specific diet (the low-carb or low-fat). The Null Hypothesis would be that there is no difference in the mean amount of weight loss when clients consume a low carbohydrate diet compared to a low-fat diet (population mean weight loss on a low carb diet = population mean weight loss on a low-fat diet). The Alternative Hypothesis would be that the mean weight loss for clients on the low carbohydrate diet compared to those on the low-fat diet will be greater (population mean weight loss on a low carb diet > the population mean weight loss on a low-fat diet). To determine which test to run I need to look at the Alternative Hypothesis. I will be using a right-tailed test since the Alternative Hypothesis is greater than the Null Hypothesis. ” Does this look good so far? Is this something you can help me complete?
