Final answer:
The student's question involves setting up hypotheses for a hypothesis test to compare the mean weights of diet versus regular soda. The proper hypotheses state that the mean weight of diet soda is equal to or less than the weight of regular soda, and the conclusion is based on the calculated p-value in relation to the significance level.
Step-by-step explanation:
The question appears to be about a hypothesis test for comparing the means of two normally distributed populations, specifically regarding the weights of diet soda versus regular soda. The null hypothesis (H₀) should state that there is no difference between the mean weights, while the alternative hypothesis (H₁) should propose that the mean weight of diet soda is less than that of regular soda.
The correct hypotheses would be:
- H₀: μ₁ = μ₂ (The mean weight of diet soda is equal to that of regular soda.)
- H₁: μ₁ < μ₂ (The mean weight of diet soda is less than that of regular soda.)
To perform the test, we would calculate the test statistic (t-value) and the corresponding p-value. Depending on the p-value and the significance level (α = 0.05), we would then either reject or fail to reject the null hypothesis. A low p-value (less than 0.05) would indicate sufficient evidence to reject the null hypothesis and accept the alternative hypothesis that the mean weight of diet soda is less than that of regular soda. Conversely, a p-value greater than 0.05 would lead to a failure to reject the null hypothesis, suggesting insufficient evidence to support the claim that diet soda cans have a lower mean weight.