1. Examine the variable of interest (days_drink). a. Inspect days_drink using a table. What is the distribution like? b. Recode days_drink to create a new factor variable with three categories: 0 days, 1-2 days, 3 or more days. Name this variable days_drink2. c. Look at the relationship between days_drink2 and GPA. Describe the difference in means. Does there appear to be a trend? d. Examine the distribution of GPA for each category of your new drinking variable. Is the distribution fairly normal? 2. Estimate an ANOVA for your new drink variable and GPA a. Based on your analysis in Question 1, is an ANOVA appropriate? What precautions. if any, should we take in interpreting our results? b. What is the value of the F-statistic? c. What is the p-value? d. Based on your findings, what is your statistical decision? Is there a relationship between drinking and GPA? A one-way ANOVA was conducted to compare the effect of days drinking alcohol on GPA using 0 days, 1-2 days, and 3 or more days as conditions. There (choose: waslwas not) a significant effect of days drinking on GPA at the p <.05 level for the three conditions l="___," p="|." therefore we fail to reject null. now do a paintvise comparison on drinking and gpa. a. what was measured difference in gpa between those who drink times week that or more b. p-value associated with this c. any pairwise significant d. should have used bonferroni correction. it waste of time why not>