2. Consider a sample of 46 football games, where 27 of them were won by the home team. Use a 0.01
significance level to test the claim that the probability that the home team wins is greater than one-half.
____________________________________________________
Identify the null and alternative hypotheses for this test. Choose the correct answer below.
A.
H0:
p=0.5
H1:
p>0.5
B.
H0:
p>0.5
H1:
p=0.5
C.
H0:
p=0.5
H1:
p≠0.5
D.
H0:
p=0.5
H1:
p<
___________________________________
Identify the test statistic for this hypothesis test.
The test statistic for this hypothesis test is? (Round to two decimal places as needed.)
___________________________________
Identify the P-value for this hypothesis test.
The P-value for this hypothesis test is? (Round to three decimal places as needed.)
___________________________________
Identify the conclusion for this hypothesis test.
A.
Fail to reject
H0.
There
is not
sufficient evidence to support the claim that the probability of the home team winning is greater than one-half.
B.
Reject
H0.
There
is
sufficient evidence to support the claim that the probability of the home team winning is greater than one-half.
C.
Reject
H0.
There
is not
sufficient evidence to support the claim that the probability of the home team winning is greater than one-half.
D.
Fail to reject
H0.
There
is
sufficient evidence to support the claim that the probability of the home team winning is greater than one-half.
Solution:
This a left (One) tailed test.
A)
The null and alternative hypothesis is,
Ho: p = 0.5
Ha: p > 0.5
B)
Test statistics
z = ( - ) / *(1-) / n
= ( 0.587 - 0.50) / (0.5*0.5) /46
= 1.18
P-value = P(Z > z )
= 1 - P(Z < 1.18 )
= 0.119
The p-value is p = 0.119 , and since p = 0.119 > 0.01, it is concluded that the null hypothesis is not rejected.
A)
Fail to reject H0.
There is not sufficient evidence to support the claim that the probability of the home team winning is greater than one-half.
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