Step 1 :The problem is asking for the test statistic for a hypothesis test. In this case, we are dealing with a proportion hypothesis test. The test statistic for a proportion hypothesis test is calculated using the formula: \(Z = \frac{{\hat{p} - p0}}{{\sqrt{{\frac{{p0 * (1 - p0)}}{n}}}}\) where \(\hat{p}\) is the sample proportion, \(p0\) is the hypothesized population proportion, and \(n\) is the sample size.
Step 2 :In this case, \(\hat{p} = 0.08\) (8% of the students said they would shop at the bookstore), \(p0 = 0.14\) (the claim is that less than 14% of students would shop at the bookstore), and \(n = 153\) (the sample size).
Step 3 :Substitute the values into the formula to calculate the test statistic: \(Z = \frac{{0.08 - 0.14}}{{\sqrt{{\frac{{0.14 * (1 - 0.14)}}{153}}}}\)
Step 4 :The test statistic Z is approximately -2.14. This value is negative because the sample proportion is less than the hypothesized population proportion, which is consistent with the claim that less than 14% of students would shop at the bookstore on Sundays.
Step 5 :Final Answer: The value of the test statistic used in the hypothesis test is approximately \(\boxed{-2.14}\).