In: Statistics and Probability
Test the claim that the proportion of men who own cats is
significantly different than the proportion of women who own cats
at the 0.02 significance level.
The null and alternative hypothesis would be:
H0:μM=μFH0:μM=μF
H1:μM≠μFH1:μM≠μF
H0:pM=pFH0:pM=pF
H1:pM≠pFH1:pM≠pF
H0:pM=pFH0:pM=pF
H1:pM<pFH1:pM<pF
H0:μM=μFH0:μM=μF
H1:μM<μFH1:μM<μF
H0:μM=μFH0:μM=μF
H1:μM>μFH1:μM>μF
H0:pM=pFH0:pM=pF
H1:pM>pFH1:pM>pF
The test is:
right-tailed
two-tailed
left-tailed
Based on a sample of 60 men, 45% owned cats
Based on a sample of 60 women, 60% owned cats
The test statistic is: (to 2 decimals)
The p-value is: (to 2 decimals)
Solution :
Given that,
n1 = 60
Point estimate = sample proportion = 1 = 0.45
n2 = 60
Point estimate = sample proportion = 2 = 0.60
The value of the pooled proportion is computed as,
= (n11 + n22 ) / ( n1 + n2 )
= (27 + 36 ) / (60 + 60 )
= 0.525
1 - = 0.475
Level of significance = = 0.02
The null and alternative hypothesis is,
H0:μM=μF
H1:μM≠μF
This a two-tailed test.
Test statistics
z = (1 - 2 ) / *(1-) ( 1/n1 + 1/n2 )
= (0.45 - 0.60 ) / (0.525 * 0.475 ) (1/60 + 1/60 )
= -1.65
P-value
= 2* P(Z <z )
= 2* P(Z < -1.65)
= 2*0.0495
= 0.099
= 0.10
The p-value is p = 0.10, and since p = 0.10 > 0.02, it is concluded that the null hypothesis is fail to rejected.