Kaggle has the Wine Review dataset, which contains not only the prices and regions of origin for specific wine, but also thousands of reviews and point evaluations from wine enthusiasts from the U.S. and different countries in Europe. This modified dataset contains wine prices, in which each price reflects cost per bottle in US dollars, from France, Italy and the US. We wish to compare the three different countries and test the null hypothesis that the three countries have the same average wine price at the 5% significance level. Lastly, all assumptions for the ANOVA test are satisfied. The following is a table of descriptive statistics for price of wine by country: Group Country Mean + SD Sample Size 1 France 45.62 + 69.70 14785 Italy 37.55 + 37.07 18784 3 U.S. 33.65 + 24.89 62139 1. Determine the population parameters. 2. State the null and alternative hypotheses. 3. Determine the critical F-ratio, using the 5% level of significance. | 4. Calculate the results and complete the table below. Round each calculation to two places after the decimal. (18pts) Sum Sq Mean Sq F value Po(>F) Countries " the p-value is too large or too small, report what is calculated based on your calculator of choloo Residuals 5. Use the decision rule two different ways to comment on rejection/failure to reject the null hypothesis. Compare the test statistic to the critical value: Compare the p-value to the significance level: State the test conclusion and provide instruction on next steps, if such apply. (3pts) ssibility: Investigate