A professor tests whether the loudness of noise during a test (low, medium, and high) is independent of test grades (pass, fail). The following table shows the observed frequencies for this test.
Noise Level | |||||
---|---|---|---|---|---|
Low | Medium | High | |||
Test | Pass | 20 | 16 | 8 | 44 |
Fail | 8 | 6 | 11 | 25 | |
28 | 22 | 19 | N = 69 |
(a) Conduct a chi-square test for independence at a 0.05 level
of significance. (Round your answer to two decimal places.)
X2obt =
(b) Compute effect size using Cramer's V. (Round your
answer to two decimal places.)
V =
Answer:
Given Data
L | M | H | Total | |
P | 20 | 16 | 8 | 44 |
F | 8 | 6 | 11 | 25 |
Total | 28 | 22 | 19 | 69 |
Results | ||||
Category 1 | Category 2 | category 3 | Row Totals | |
Group 1 | 20 (17.86) [0.26] | 16 (14.03) [0.28] | 8 (12.12) [1.40] | 44 |
Group 2 | 8 (10.14) [0.45] | 6 (7.97) [0.49] | 11 (6.88) [2.46] | 25 |
Column Totals | 28 | 22 | 19 | 69 (Grand Total) |
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