An experiment is conducted to determine whether intensive tutoring (covering a great deal of material in a fixed amount of time) is more effective than paced tutoring (covering less material in the same amount of time). Two randomly chosen groups are tutored separately and then administered proficiency tests. The data collected and summarized below: Group1 (the intensive group) consisted of 12 students and resulted in an average grade of 46.31 with a standard deviation of 6.44. group 2 (the paced group) consisted of 10 students and resulted in an average grade of 42.79 with a standard deviation of 7.52. Assume that the population variances of both groups are different. Find the p-value to test the claim that intensive tutoring is more effective than paced tutoring? (Use TI 83 or similar ; if you don't have a TI 83/similar, please use the p-value formula below and the applet at https://homepage.divms.uiowa.edu/~mbognar/applets/t.html for the t distribution probability calcualtion, For a H1: > , p-value = P( t distribution > the test statistic in the previous problem) )
An experiment is conducted to determine whether intensive tutoring (covering a great deal of material in a fixed amount of time) is more effective than paced tutoring (covering less material in the same amount of time). Two randomly chosen groups are tutored separately and then administered proficiency tests. The data collected and summarized below: Group1 (the intensive group) consisted of 12 students and resulted in an average grade of 46.31 with a standard deviation of 6.44. group 2 (the paced group) consisted of 10 students and resulted in an average grade of 42.79 with a standard deviation of 7.52. Assume that the population variances of both groups are different. Find the p-value to test the claim that intensive tutoring is more effective than paced tutoring?
(Use TI 83 or similar ; if you don't have a TI 83/similar, please use the p-value formula below and the applet at https://homepage.divms.uiowa.edu/~mbognar/applets/t.html for the t distribution probability calcualtion, For a H1: > , p-value = P( t distribution > the test statistic in the previous problem) )
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