Subject | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
Weight before | 55.7 | 54.9 | 59.6 | 62.3 | 74.2 | 75.6 | 70.7 | 53.3 |
Weight after | 61.7 | 58.8 | 66.0 | 66.2 | 79.0 | 82.3 | 74.3 | 59.3 |
Subject | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 |
Weight before | 73.3 | 63.4 | 68.1 | 73.7 | 91.7 | 55.9 | 61.7 | 57.8 |
Weight after | 79.1 | 66.0 | 73.4 | 76.9 | 93.1 | 63.0 | 68.2 | 60.3 |
(a) For each subject, subtract the weight before from the weight after to determine the weight change.
(b) Find the mean and the standard deviation for the weight change.
(c) Calculate the standard error and the margin of error for 95% confidence. Report the 95% confidence interval for weight change in a sentence that explains the meaning of the 95%.
(d) Convert the mean weight gain in kilograms to mean weight gain in pounds. Because there are 2.2 kg per pound, multiply the value in kilograms by 2.2 to obtain pounds. Do the same for the standard deviation and the confidence interval.
(e) Test the null hypothesis that the mean weight gain is 16 lb. Be sure to specify the null and alternative hypotheses, the test statistic with degrees of freedom, and the P-value. What do you conclude?
(f) Write a short paragraph explaining your results.