A consumer products company was looking at two
weight loss regimens: the Moon and Teko diet programs. 32 users of each program were selected at random and their weight loss was recorded over a three-month
period. Those on the Moon regimen had an average weight loss of 12.9 pounds with a standard deviation of 2.3 pounds, while those on the Teko diet had an average weight loss
of 13.8 pounds with a standard deviation of 2.4 pounds. The analyst working with the data came out with a 95% confidence interval of (-2.10, 0.30). She wondered that if the study was run again, what the effects of sample size
would be? Which of the following would decrease the width of the confidence interval and show more clearly that one diet program produced more weight loss than the other
(assuming all other values remained the same)?
