A tire store advertises that the average price of a new set of their tires is only $150. One of their recent customers believes their advertised average is too low – that the true mean price for a set of tires exceeds $150. He plans to carry out a hypothesis test at α = 0.05. In order to perform the test, the customer took an SRS of 8 sets of tires recently sold. The mean of these sets of tires was x̅ = $156.90 and the standard deviation was s = $11.80.   Suppose the p-value of the test is found to be 0.0715 using statistical software. What is the appropriate conclusion at α = 0.05.

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A tire store advertises that the average price of a new set of their tires is only $150. One of their recent customers believes their advertised average is too low – that the true mean price for a set of tires exceeds $150. He plans to carry out a hypothesis test at α = 0.05. In order to perform the test, the customer took an SRS of 8 sets of tires recently sold. The mean of these sets of tires was x̅ = $156.90 and the standard deviation was s = $11.80.

 

Suppose the p-value of the test is found to be 0.0715 using statistical software. What is the appropriate conclusion at α = 0.05.

Expert Solution
Step 1

As per the information given, the hypothesis of interest is

     H0: μ=150  vs   H1:μ>150 (right-tailed)

 under the null hypothesis, the test statistic is

     tcal=x¯-μS/n~tn-1      ; S=1n-1i(xi-x¯)2

and 

   p-value = P(ttcal) =0.0715 > α = 0.05

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