Question

11-14. The following data are pull-ups for college male students at pre and post. Find out if there is any difference between pre- and post-test. Pre-test 10, 11, 13, 14, 15, 16, 17 Post-test 11, 14, 16, 10, 22, 18, 19


13. Is the t value statistically significant at the p value of 0.01 (99% cumulative probability)?

14. If yes/no, what is the p-value found on the output?

Question 15-17. A volleyball coach noted that players who practices jumping during practice time seemed to be able to jump higher in the games. He wondered if jumping practice was more or less effective than lower extremely weight training to increase vertical jump height. To test this phenomena, he proposed the null hypothesis, that there are no significant differences between players who practices jumping, players who practice in lower extremity weight training, and players who do neither exercise.

Control Group Weight Training Group Jumping Practice Group 23 26 33 21 35 32 25 28 36 26 31 42 21 34 57 27 35 34 32 29 25 19 37 47 25 48 45 21 25 28 27 -- --

Question 15. Which statistical analysis do you have to use to analyze the data?

Answer 1

The data given are

Pre-test 10, 11, 13, 14, 15, 16, 17

Post-test 11, 14, 16, 10, 22, 18, 19

The sample means are . The sample standard deviations are

. Sample sizes are . This is a two-tailed t-test.

13)The test statistic is

The P-value is

Since , the t value is not statistically significant at .

14) The .