Final answer:
The appropriate null and alternative hypotheses are stated. The t-statistic is computed using the given values. The critical value or p-value is calculated to make a conclusion.
Step-by-step explanation:
(A) The appropriate null and alternative hypotheses for Margot's quality control test are:
Null hypothesis (H0): The mean weight of jumbo eggs is equal to 68 g.
Alternative hypothesis (Ha): The mean weight of jumbo eggs is significantly different from 68 g.
(B) To compute the value of the t-statistic, we can use the formula:
t = (sample mean - population mean) / (sample standard deviation / sqrt(sample size))
Plugging in the values from the problem, the formula becomes:
t = (69 - 68) / (1.7 / sqrt(25)) = 1 / (1.7 / 5) = 1 / 0.34 = 2.94
(C) To compute the critical value or p-value, we need to determine the degrees of freedom. Since the sample size is 25, the degrees of freedom is 25 - 1 = 24. We can then look up the critical t-value for a significance level of 5% and 24 degrees of freedom in the t-distribution table. Alternatively, we can use statistical software or calculators to calculate the p-value.
(D) Based on the computed t-statistic and the critical value or p-value, we can compare them to determine the conclusion. If the computed t-statistic is greater than the critical value, or the p-value is less than the significance level, we reject the null hypothesis and conclude that the sample mean weight is significantly different from 68 g. Otherwise, we fail to reject the null hypothesis and cannot conclude a significant difference in the mean weight.