Link: https://rconnect.byu.edu/Stat121App/

The following information applies to questions 8 10. Go to Link r. . On the left panel. select \"ANOVA\". Select the \"Plant Growth~ dataset. then select "group" as your categorical explanatory variable and \"weight\" as your quantitative response variable. Generate boxplols of your data. Question B 3. According to the boxplots. is the normality of the populations condition met? ' No, normality is not a condition for ANOVA. .-. Yes. at least one of the sample distributions appears to be normal. \" No, at least one of the boxplots has at least one outlier. ' Yes, there are no outliers in the boxplots. Question 9 9. Calculate the standard deviations of the plant weights in each group. Is the equal population standard deviation met? a . Yes, .79/.44 equals 1.80. which is less than 2. , Yes, .44/79 equals .55, which is less than 2. ) Yes, .79/58 equals 1.36, which is less than 2. a . No, .53 does not equal .79 or .44. Question 10 0. Assume all conditions are met. Select \"Proceed to Statistical Inference.\" Calculate the test statistic and p-value. Assuming that o = 0.01. what is the appropriate conclusion to make? ' Since the p-value is less than 0.05, we reject the null hypothesis and conclude that at least one plant group's mean weight is different .-. Since the p-value is greater than 0.05. we fail to reject the null hypothesis and have insufcient evidence to conclude that at least one plant group's mean weight is different. , Since the p-value is greater than 0.01, we fail to reject the null hypothesis and have insufcient evidence to conclude that at least one plant group's mean weight is different. ' Since the p-value is greater than 0.01, we reject the null hypothesis and conclude that at least one plant group's mean weight is different