At a local store, 65 female employees were randomly selected and it
was found that their mean monthly income was $605 with a standard
deviation of $121.50. Seventy-five male employees were also
randomly selected and their mean monthly income was found to be
$677 with a standard deviation of $168.70. Test the hypothesis that
male employees have a higher monthly income than female employees.
Use α = 0.01.
Type the conclusion only for the hypothesis test (step 5).
hypothesis
pooled Variance
s2p = ((df1)(s21) +
(df2)(s22)) / (df1 + df2) =
94496561.06 / 138 = 684757.69
Standard Error
s(M1 - M2) = √((s2p/n1) +
(s2p/n2)) = √((684757.69/65) + (684757.69/75)) =
140.23
test statistic
= (M1 - M2) /s(M1 - M2) = 72 / (140.23)
0.513 4
p value for right tailed test
p(t>0.5134) and degrees of freedom is minimum of n1-1 and n2-1
which is 64
p value is 0.3 046, which is greater than given significance so we can not reject null hypothesis
there is not significant evidence to claim that male employees have a higher monthly income than female.
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