Question #140423
A magazine publisher tells potential advertisers that the mean household income of its regular readership is $61,500. An advertising agency wishes to test this claim against the alternative that the mean is smaller. A sample of 40 randomly selected regular readers yields mean income $59,800 with standard deviation $5,850. Perform the relevant test at the 1% level of significance.
1
Expert's answer
2020-10-26T17:05:08-0400

H0:μ=61500H_0:\mu=61500

H1:μ<61500H_1:\mu<61500

tc=Xˉμsntc=\frac{\bar{X}-\mu}{\frac{s}{\sqrt{n}}}

=5980061500585040=1.838=\frac{59800-61500}{\frac{5850}{\sqrt{40}}}=-1.838

Cv=tα,n1=t0.01,39=2.426Cv=t_{{\alpha},n-1}=t_{0.01,39}=2.426

Since the absolute value of the test statistic tc=1.838 is less than the critical value cv=2.426, we fail to reject the null hypothesis and conclude that there is no sufficient evidence to support the claim that the mean household income is less than $61500.


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