Solution:
Hypothesis are:
H0: The gender of the tennis player is independent of
whether a call is overturned
H1:The gender of the tennis player is not independent of
whether a call is overturned.
Test statistic:
Formula for Chi square independence
Where
Oij = Observed frequencies for ith row and jth column.
Eij = Expected frequencies for ith row and jth column.
Where
Observed Frequencies | |||
---|---|---|---|
Yes | No | Total | |
Men | 241 | 769 | R1=1010 |
Women | 499 | 521 | R2=1020 |
Total | C1=740 | C2=1290 | N =2030 |
Thus
Expected Frequencies | ||
---|---|---|
Yes | No | |
Men | 368.1773 | 641.8227 |
Women | 371.8227 | 648.1773 |
Thus
Oij | Eij | Oij2/Eij |
---|---|---|
241 | 368.1773 | 157.753 |
769 | 641.8227 | 921.378 |
499 | 371.8227 | 669.677 |
521 | 648.1773 | 418.776 |
P-value:
Use following Excel command:
=CHISQ.DIST.RT( X2 , df )
where
df = ( R - 1) X (C - 1)
R = Number of Rows = 2
C = Number of Columns = 2
thus
df = ( 2 - 1) X (2 - 1)
df = 1 X 1
df = 1
thus
=CHISQ.DIST.RT(137.583,1)
=0.0000
Thus
P-value = 0.0000
Conclusion:
Decision Rule:
Reject null hypothesis H0, if P-value < 0.05 level of
significance, otherwise we fail to reject H0
Since P-value = 0.0000 < 0.05, we reject null hypothesis H0.
There is sufficient evidence to warrant the rejection of the claim that the gender of the tennis player is independent of whether a call is overturned.
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