In: Statistics and Probability
Statistics exercises
Friedman’s K/One-way repeated measures ANOVA
1. Suppose you are interested in learning if practice on the ACT improves test scores. You sample a random group of 10 people and ask them to take the ACT 1 time per week for 3 consecutive weeks. Use the data below to determine if practice improves test scores.
Participant |
Test 1 |
Test 2 |
Test 3 |
1 |
18 |
23 |
24 |
2 |
20 |
22 |
26 |
3 |
21 |
24 |
23 |
4 |
19 |
25 |
28 |
5 |
20 |
21 |
23 |
6 |
19 |
22 |
25 |
7 |
20 |
20 |
20 |
8 |
21 |
23 |
25 |
9 |
28 |
27 |
29 |
10 |
25 |
27 |
26 |
H0: the ACT not improves test scores.
H1: the ACT improves test scores.
It is one tailed test
From the given data
Anova Table | Alpha = | 0.05 | ||||
Source | df | SS | MSS | Var. Ratio F | F-critic | P-Value |
B/w groups | 2 | 73.267 | 36.633 | 13.9114 | 3.5546 | 0.00022 |
Within Group | 27 | 196.2 | 7.2667 | |||
i) B/w Subject | 9 | 148.8 | ||||
ii) Error | 18 | 47.4 | 2.633 | |||
Total: | 29 | 269.4667 |
Test Statistic F = 3.5546
since P-value for two tailed = 0.00022 and P-value for 1-tailed is 0.0001 < alpha 0.05 so we reject H0
Thus we conclude that the ACT improves test scores.