Step 1 :Given values are: sample size = 21, sample mean = 7.4 pounds, population mean = 7.5 pounds, population standard deviation = 1.25 pounds, and significance level = 0.01.
Step 2 :The null hypothesis \(H_0\) is that the population mean \(\mu\) is equal to 7.5 pounds, i.e., \(H_0: \mu = 7.5\).
Step 3 :The alternative hypothesis \(H_1\) is that the population mean \(\mu\) is less than 7.5 pounds, i.e., \(H_1: \mu < 7.5\).
Step 4 :Calculate the test statistic (z) using the formula: \(z = \frac{{\text{{sample mean}} - \text{{population mean}}}}{{\text{{population standard deviation}} / \sqrt{{\text{{sample size}}}}}}\).
Step 5 :Substitute the given values into the formula to get: \(z = \frac{{7.4 - 7.5}}{{1.25 / \sqrt{21}}}\), which gives \(z \approx -0.3666\).
Step 6 :Calculate the p-value using the cumulative distribution function (CDF) for the normal distribution. The p-value is the probability that a random variable is less than or equal to the test statistic, which gives \(p \approx 0.3570\).
Step 7 :Since the p-value (0.3570) is greater than the significance level (0.01), we fail to reject the null hypothesis.
Step 8 :\(\boxed{\text{{Therefore, we do not have enough evidence to support the claim that the average birth weight is decreasing over time.}}}\)