Assume that a statistical consultant has been called in to assist the police department of a large city in evaluating its human relations course for new officers. The independent variables are type of beat to which the officers are assigned during the course, treatment A, and the length of the course, treatment B. Treatment A has three levels: upper-class beat, a1, middle-class beat, a2, and inner-city beat, a3. Treatment B also has three levels, 5 hours of human relations training, b1, 10 hours, b2, and 15 hours b3. The dependent variable is attitude toward minority groups following the course. A test developed and validated previously by the consultant is used to measure the dependent variable.

A1A1A1 A2A2A2 A3A3A3

B1B2B3 B1B2 B3 B1 B2 B3

244438 30 35 26 21 41 42

333629 2140 27 183952

372528 392736 105053

292747 263146 313649

424348 342245 203464

Conclusions from Tukey at Upper=

Conclusions from LSD at Upper=

Conclusions from Tukey at Middle=

Conclusions from LSD at Middle =

Conclusions from Tukey at Lower =

Conclusions from LSD at Lower =

Simple Effects Test of Hour At Each level of SES Beat

1-way ANOVA just at upper leads to MS_bet =

1-way ANOVA just at middle leads to MS_bet =

1-way ANOVA just at lower leads to MS_bet =

(1) F at upper =X/62.5 =

(1) F at middle =X/62.5 =

(1) F at lower =X/62.5 =

NOTE: replace X above with the appropriate number and compute the correct F test

(1) Critical F needed for significance at 2, 36 DF =

(2 points)Conclusions