Step 1 :Given that the sample mean \(x = 56\), the population mean \(\mu = 50\), the population standard deviation \(\sigma = 20\), and the sample size \(n = 75\).
Step 2 :The formula for the z-score is given by \(z = \frac{(x - \mu)}{(\sigma / \sqrt{n})}\).
Step 3 :Substitute the given values into the formula to calculate the z-score, which is approximately 2.60.
Step 4 :The null hypothesis \(H_{0}\) is rejected if the z-score is greater than the critical value corresponding to the significance level \(\alpha\).
Step 5 :The critical value for \(\alpha = 0.05\) is approximately 1.645 for a one-tailed test, and for \(\alpha = 0.01\) it is approximately 2.33.
Step 6 :Compare the calculated z-score with these critical values to determine whether \(H_{0}\) is rejected.
Step 7 :The calculated z-score is greater than the critical value of 1.645 for a significance level of \(\alpha = 0.05\), so the null hypothesis \(H_{0}\) would be rejected at this level.
Step 8 :The z-score is less than the critical value of 2.33 for a significance level of \(\alpha = 0.01\), so the null hypothesis would not be rejected at this level.
Step 9 :Final Answer: a. The value of the test statistic \(z\) is approximately \(\boxed{2.60}\). b. Yes, \(H_{0}\) is rejected at the \(\alpha=0.05\) level. c. No, \(H_{0}\) is not rejected at the \(\alpha=0.01\) level.