(Ch13-Prob set-Q2) please answer all questions in the image. For the 1st question, you will select all answers that apply. Find the missing values in the ANOVA table. Finally, complete three statements at the bottom of the image by filling in the blank with correct answers.

AaBbCCD AaBbCcD Normal 1 No Spac.. Heading 1 Heading 2 Title Subtitle Subtle Em.. Emphasis Intense E.. Strong Styles You decide to do a similar study, conducting a factorial experiment to test the effectiveness of one environmental factor and one physiological factor on aphysical health outcome. As the environmental factor, you choose two levels of stress. As the physiological factor, you choose three levels of cardiovascular reactivity. The outcome is number of injuries in the previous 12 months, and the research participants are rhesus monkeys. You conduct a two-factor ANOVA on the data. The two-factor ANOVA involves several hypothesis tests. Which of the following are null hypotheses that you could use this ANOVA to test? Check all that apply. There is no interaction between stress and cardiovascular reactivity. The effect of stress on number of injuries is no different from the effect of cardiovascular reactivity. Stress has no effect on number of injuries. Cardiovascular reactivity has no effect on number of injuries. The results of your study are summarized by the corresponding sample means below. Each cell reports the average number of injuries for 9 rhesus monkeys. Factor B: Cardiovascular Reactivity Low Medium High M = 3.22 M = 2.44 M = 2.22 Low T- 29 T - 22 T - 20 TROW1 = 71 SS - 1.5556 SS - 2.2222 SS - 1.5556 Factor A: Stress EX3 - 415 M = 2.89 M - 2.78 M - 2.78 High T - 26 T - 25 T - 25 UROW2- 76 55 = 0.6889 SS = 1.5556 55 = 1.5556 TOOLI = 55 TOOL? = 47 TOOL3 - 45 You perform an ANOVA to test that there are no main effects of factor A, no main effects of factor B, and no interaction between factors A and B. Some of the results are presented in the following ANOVA table. ANOVA Table MS Source SS df Between treatments 5.5000 5 2.38 Factor A 0.4630 Factor B 1.5556 8.00 A X B interaction 1.9257 Within treatments 14.8333 53 Total the main effect due to factor B is , and At the significance level a = 0.05, the main effect due to factor A is the interaction effect between the two factors is