Posted by **Matt** on Friday, May 2, 2014 at 7:09pm.

A researcher was interested in assessing the effectiveness of the Statistics Diet as compared to a regular low calorie diet on weight loss. In the study, obese participants were randomly assigned to one of two groups: (1) the Statistics Diet, which required participants

to calculate the mean number of calories in each food that they ate at every meal or (2) the Regular Low Calorie Diet, which had participants consume only 1000 calories a day. The dependent/response measure collected was the number of pounds lost at the end of the

first week of the diet.

The p-value obtained for this study was .0053. What do these results tell us?

a. the data provide sufficient evidence to reject H0; therefore, we conclude that there are no

differences in the mean number of pounds lost on the statistics diet and the mean

number of pounds lost on the regular low calorie diet.

b. the data provide sufficient evidence to reject H0; therefore, we conclude that the mean

number of pounds lost on the statistics diet is greater than the mean number of pounds

lost on the regular low calorie diet.

c. the data do not provide sufficient evidence to reject H0; therefore, we conclude that there

are no differences in the mean number of pounds lost on the statistics diet and the mean

number of pounds lost on the regular low calorie diet.

d. the data do not provide sufficient evidence to reject H0; therefore, we conclude that

mean number of pounds lost on the statistics diet is greater than the mean number of

pounds lost on the regular low calorie diet.

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