In: Statistics and Probability
The accompanying table shows results of challenged referee calls in a major tennis tournament. Use a 0.05 significance level to test the claim that the gender of the tennis player is independent of whether a call is overturned.
Was the Challenge to the Call Successful?
Yes | No | |
Men | 393 | 771 |
Women | 282 | 913 |
The Observed and expected values are as below. Each Expected value = Row Total * Column Total / N
Observed | |||
Yes | No | Total | |
Men | 393 | 771 | 1164 |
Women | 282 | 913 | 1195 |
Total | 675 | 1684 | 2359 |
Expected | |||
Yes | No | Total | |
Men | 333.06 | 830.94 | 1164 |
Women | 341.94 | 853.06 | 1195 |
Total | 675 | 1684 | 2359 |
The Hypothesis:
H0: There is no relation between gender and whether a call is overturned.
Ha: There is a relation between gender and whether a call is overturned.
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(b) The Test Statistic:
Number | Observed | Expected | (O-E) | (O-E)2 | (O-E)2/E |
1 | 393 | 333.06 | 59.94 | 3592.221248 | 10.7854 |
2 | 282 | 341.94 | -59.94 | 3592.221248 | 10.5056 |
3 | 771 | 830.94 | -59.94 | 3592.221248 | 4.3231 |
4 | 913 | 853.06 | 59.94 | 3592.221248 | 4.2110 |
Total | 29.825 |
as found above = 29.825
The degrees of freedom, df = (r – 1) * (c -1) = (2 - 1) * (2 - 1) = 1 * 1 = 1
(d) The Critical Value: The critical value at = 0.05, df = 1
critical = 3.8415
(e) The p value: The p value at = 29.825, df = 1, is P value = 0000.
The Decision Rule: If test is > critical, then Reject H0.
If p value is < , Then Reject H0.
The Decision: Since test (29.825) is > critical (3.8415), We Reject H0.
Since p value (0.000) is < (0.05), We Reject H0.
The Conclusion: There is sufficient evidence at the 95% significance level to conclude that there is a relation between gender and whether a call is overturned.
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