Greengrow, Inc.is evaluating three new fertilizer mixes.During a trial period, four young plants of equal size were randomly assigned to each fertilizer mix.Plant heights (in centimeters) at the end of the trial period are shown below: You are to use the sample data to test the null hypothesis that the average heights for the three populations represented here are the same, using a significance level of 5%.Compute the F value (F_sta_t) for the test and report your conclusion. A)F_stat = 3.248.Since F_stat is less than the critical F value, we cannot reject the "no difference in population means" null hypothesis. B)F_stat = 5.655.Since F_stat is greater than the critical F value, we can reject the "no difference in population means" null hypothesis. C)F_stat = 7.323.Since F_stat is greater than the critical F value, we can reject the "no difference in population means" null hypothesis. D)F_stat = 0.542.Since F_stat is less than the critical F value, we cannot reject the "no difference in population means" null hypothesis.

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The Answer of Greengrow, Inc.is evaluating three new fertilizer mixes.During a trial period, four young plants of equal size were randomly assigned to each fertilizer mix.Plant heights (in centimeters) at the end of the trial period are shown below: You are to use the sample data to test the null hypothesis that the average heights for the three populations represented here are the same, using a significance level of 5%.Compute the F value (F_sta_t) for the test and report your conclusion. A)F_stat = 3.248.Since F_stat is less than the critical F value, we cannot reject the "no difference in population means" null hypothesis. B)F_stat = 5.655.Since F_stat is greater than the critical F value, we can reject the "no difference in population means" null hypothesis. C)F_stat = 7.323.Since F_stat is greater than the critical F value, we can reject the "no difference in population means" null hypothesis. D)F_stat = 0.542.Since F_stat is less than the critical F value, we cannot reject the "no difference in population means" null hypothesis.