Step 1 :We are given that the sample mean (\(\bar{X}\)) is 124.75, the population mean under the null hypothesis (\(\mu\)) is 125, the standard deviation of the population (\(\sigma\)) is 15.78, and the sample size (\(n\)) is 257.
Step 2 :We can use these values to calculate the test statistic using the formula: \[Z = \frac{\bar{X} - \mu}{\sigma / \sqrt{n}}\]
Step 3 :Substituting the given values into the formula, we get: \[Z = \frac{124.75 - 125}{15.78 / \sqrt{257}}\]
Step 4 :Solving the above expression, we find that the value of the test statistic (\(Z\)) is approximately -0.25.
Step 5 :Final Answer: The value of the test statistic is \(\boxed{-0.25}\).