15. After performing a t-test comparing the average amount of time professors and students spend reading, I get a significance value of .14. Given the significance value and the information below, what can you conclude? = Ho: Mstudents professors H1: Hstudents Mstudents where: professors is the average number of books read per month by professors Mstudents is the average number of books read per month by students a. I may make a Type I error b. I may make a Type II error C. I could conclude that the average amount of books read by professors and students are different d. Reject the null hypothesis 16. After performing a t-test comparing the average amount of time Catholics and Muslims watch TV, I get a significance value of .04. Given the significance value, what can you conclude? a. I may make a Type I error b. I may make a Type II error C. I could conclude that the average amount of time Catholics and Muslims spend watching TV is the same d. a and c 17. After performing a t-test comparing the average amount of time professors and students spend reading, I get a significance value of .03. Given the significance value and the information below, what can you conclude? = Ho: Mstudents professors H1: Hstudents * professors where: professors is the average number of books read per month by professors Mstudents is the average number of books read per month by students a. I could conclude that the average amount of books read by professors and students are the same d. Fail to reject the null hypothesis b. I may make a Type I error c. I may make a Type II error 18. After performing a t-test comparing the average income of professors and students, I get a significance value of .06. Given the significance value and the information below, what can you conclude? Ho: Hstudents Hprofessors # H1: Hstudents Hprofessors where: Hprofessors is the average number of books read per month by professors Hstudents is the average number of books read per month by students a. There is a 3 in 100 chance that I may make a Type I error