Final answer:
The test determines whether the mean price in Providence for red wine is less than the population mean. The null and alternative hypotheses are set, the test statistic and p-value are calculated, and the conclusion is drawn based on the significance level. The hypothesis test is then repeated using the critical value approach.
Step-by-step explanation:
(a) The null and alternative hypotheses for this test are:
H0: The mean price in Providence for a bottle of red wine that scores 4.0 or higher on the Vivino Rating System is equal to or greater than the population mean of $32.48.
Ha: The mean price in Providence for a bottle of red wine that scores 4.0 or higher on the Vivino Rating System is less than the population mean of $32.48.
(b) The test statistic, t, can be calculated using the formula:
t = (sample mean - population mean) / (sample standard deviation / sqrt(sample size))
Using the given values, the test statistic is approximately -1.865.
(c) The p-value can be determined by finding the area under the t-distribution curve to the left of the test statistic. In this case, the p-value is approximately 0.0337.
(d) The critical value approach requires comparing the test statistic to the critical values. Since the test is one-tailed and the significance level is 0.05, the critical value is approximately -1.671. Therefore, the rejection region is t ≤ -1.671. Based on the test statistic of -1.865, we reject the null hypothesis.
At α = 0.05, the correct conclusion is to Reject H0. We can conclude that the price in Providence for a bottle of red wine that scores 4.0 or higher on the Vivino Rating System is less than the population mean of $32.48.