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761 725 770 752 733 744 806 754 780 1. Assuming that all the assumptions required to apply for the one-way ANOVA procedure hold true,
761 725 770 752 733 744 806 754 780 1. Assuming that all the assumptions required to apply for the one-way ANOVA procedure hold true, answer the following questions. a. Which of the following is the correct pair of the null and alternative hypotheses? Choose the number 1, 2, or 3 that shows the correct pair. 1 Hop -82 -H3 -PA H1 : Not all means are equal 2 Ho 1 =H2 3. HO #1 = P2 =#3 H, : Not all means are equal b. Which of the following distributions would you use to test the hypothesis in part (a)? Choose the number 1, 2, 3, or 4 that shows the correct distribution. 1. t distribution 2, F distribution 3. x distribution z distribution c. To test the null hypothesis in part (a) at o - 0.05 level of significance, what is the critical value of F? Use the appropriate distribution table and enter just the numeric value rounded to two decimal places of accuracy. d. What is the calculated value of the test statistic? Enter just the numeric value rounded to two decimal places of accuracy. (Note: To save computational time, assume SSB = 3361.1667 and SSW = 3461.7500.) e. Based on your answers in part (c) and (d), will you reject the null hypothesis stated in part (a) at 5% level of significance? Enter 1 or 2 to indicate the correct decision. 1. Do not reject HO. 2. Reject HO. f. Which of the following will be your conclusion of the test? Enter 1 or 2 to indicate the correct conclusion. . We can conclude that there is no significant difference between the mean grocery prices for the three supermarket chains. 2. There is sufficient evidence to indicate at least one of the three average grocery prices is different from the others. 2. Suppose the consumer agency decided to include one more grocery chain Walmart in this study and conducted one-way ANOVA to test if the mean grocery prices are significantly different among these four popular grocery chains (k = 4, n - 16). If F is the value of the test statistic, what is the boundary value of Fc where P(F
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