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 following table contains the results of the study.
#of Participants Mean Standard Dev.
Stats Diet 6 2.3 0.55
Reg.Low Cal.Diet 6 1.23 0.5

6. What is the value of the test statistic?
a. 3.53
b. -3.53
c. 11.62
d. -11.62
7. 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.