Area Manufacturing Female Male 1016 978 Manufacturing 1007 1056 Manufacturing 875 982 Manufacturing 968 Marketing 1045 748 1154 Marketing 895 1091 Marketing 848 878 Marketing 904 876 R&D 770 926 R&D 733 1055 R&D 8441 1066 R&D 771 1088 Question 4 We want to examine if there is an gender has any effect on salary in three different fields: Manufacturing, Marketing and R & D. We are also interested if there is any interaction in these variables. Perform a 2 factor ANOVA which also examines for interaction. A. What conclusions would we draw here? What if any of the three null hypotheses will be rejected? B. Do either of the variables or the interaction between them warrant further study? Why? Extra Credit Instructions: Please do the problem in Excel and attach your ANOVA results. Answer questions A and B to the best of your ability. Completed extra credits which have Excel output and answers to both A and B will earn 2% added onto your Exam 2 grade. Full credit will be earned for effort (Excel output and answers to the two quesitons). Don't worry about answering something incorrectly. We will review this assignment on Wednesday.