Question 3 (20 points) Spam is the price we pay for being able to easily communicate by e-mail. Does spam effect everyone equally? In a preliminary study, university professors, administrators, and students were randomly sampled. Each person was asked to count the number of spam messages received that day. The results are given in the following table. OPRE 6359- Advanced Statistics for Data Science Homework 2 Professors Administrators Students 7 5 12 4 9 4 12 5 3 16 18 18 10 15 Can we infer at the 2.5% significance level that the differing university communities differ in the amount of spam they receive in their e-mails? Answer this question by performing ANOVA with R. Comment on your results