Step 1 :Given values are: sample mean (X) = 52.7, population mean (mu) = 52.8, population standard deviation (sigma) = 1.0, and sample size (n) = 230.
Step 2 :Calculate the z-score using the formula: \( z = \frac{X - \mu}{\sigma / \sqrt{n}} \).
Step 3 :Substitute the given values into the formula to get the z-score: \( z = \frac{52.7 - 52.8}{1.0 / \sqrt{230}} \), which gives a z-score of approximately -1.5166.
Step 4 :Calculate the p-value using the formula: \( p = 2 * \text{sf}(abs(z)) \), where sf is the survival function, which gives the one-sided p-value from the z-score. Since we are doing a two-sided test, we need to multiply the one-sided p-value by 2 to get the two-sided p-value.
Step 5 :Substitute the calculated z-score into the formula to get the p-value: \( p = 2 * \text{sf}(abs(-1.5166)) \), which gives a p-value of approximately 0.1294.
Step 6 :Round the p-value to four decimal places to get the final answer: \(\boxed{0.1294}\).