A dietician is interested in the effectiveness of 5 different diets as measured by mean weight loss. He randomly selects 20 clients who would like to lose weight and assigns 4 of them to each of the 5...


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A dietician is interested in the effectiveness of 5 different diets as measured by mean<br>weight loss. He randomly selects 20 clients who would like to lose weight and<br>assigns 4 of them to each of the 5 diets. After 6 months, he compares the average<br>weight loss among his clients. He computes the sum of squares treatments to be<br>23.37 and the sum of squares error to be 15.38. Given these statistics, what can the<br>dietician conclude at the 5% significance level?<br>Reject the null hypothesis. There is likely no difference in mean weight loss<br>among the diets<br>Do not reject the null hypothesis. There is likely a difference in mean weight loss<br>among the diets<br>Reject the null hypothesis. There is likely a difference in mean weight loss among<br>the diets<br>Do not reject the null hypothesis. There is likely no difference in mean weight<br>loss among the diets<br>

Extracted text: A dietician is interested in the effectiveness of 5 different diets as measured by mean weight loss. He randomly selects 20 clients who would like to lose weight and assigns 4 of them to each of the 5 diets. After 6 months, he compares the average weight loss among his clients. He computes the sum of squares treatments to be 23.37 and the sum of squares error to be 15.38. Given these statistics, what can the dietician conclude at the 5% significance level? Reject the null hypothesis. There is likely no difference in mean weight loss among the diets Do not reject the null hypothesis. There is likely a difference in mean weight loss among the diets Reject the null hypothesis. There is likely a difference in mean weight loss among the diets Do not reject the null hypothesis. There is likely no difference in mean weight loss among the diets

Jun 03, 2022
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