7. Suppose you are interested in whether certain situations produce differing amounts of stress. The amount of the hormo

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7. Suppose you are interested in whether certain situations produce differing amounts of stress. The amount of the hormone corticosterone circulating in the blood is a good measure of how stressed a person is. You randomly assign 15 students into three groups of 5 students each. The students in group 1 have thei corticosterone levels measured immediately after returning from vacation (low stress). The students in group 2 have their corticosterone levels measured after they have been in class for a week (moderate stress). The students in group 3 are measured immediately before final exam week (high stress). All measurements are taken the same time of day. You record the milligrams of corticosterone per 100 milliliters of blood. The data is given below: NOTE: THIS EXERCISE WILL HAVE YOU INTERPRET THE ROUTPUT. HOWEVER, YOU CAN TAKE THIS AS AN OPPORTUNITY TO PRACTICE A FULL ANOVA AND THEN CHECK YOUR ANSWERS AGAINST THER OUTPUT. Low Stress Moderate Stress High Stress 2 10 10 3 8 13 7 7 14 2 13 5 6 10 15 DO a. What are the groups being compared? That is, what are the levels of the IV? b. What is the IV? What is the level of measurement of the IV? d. What is being measured? That is, what is the DV? What is the level of measurement of the DV? f. Do we have an assignment to groups that indicates independent-measures or dependent measure? Explain. g What is the appropriate hypothesis test for this scenario? Explain. h. What is the null hypothesis? i. Using the given R output for descriptive statistics, complete the table below ## A tibble: 34

Explain h. What is the null hypothesis? i. Using the given R output for descriptive statistics, complete the table below ## # A tibble: 3 x 4 ## stress_group count sd ## <fct> <int> <dbl> <dbl> ## 1 high 5 1.87 ## 2 low 2.35 ## 3 moderate 2.12 mean 13 5 4 5 8 Group Mean Standard deviation Low Stress Moderate Stress High Stress j. Using the given R source table, complete the table below. ## DE Sum Sq Mean Sq P value Pr(F) ## stress_group 2 203.3 101.7 22.59 8.540-05. ## Residuals 12 54.0 4.5 --- ** Signif. codes 0 0.001 0.01 0.05. 0.1. I Source SS Df MS F Between Within Total k. According the significance codes, which the best probability statement?

Between Within Total k. According the significance codes, which the best probability statement? 1. p<.05 2. p<.01 3. p <.001 1. What is the exact p-value? m. Based on the exact p-value, what is your decision? Explain. n. Using the given R confidence interval plot, specify which pairs of means contain the hypothesized mu (that is, the zero line). 95% family-wise confidence level low-high ate-high wate-low -10 -5 0 5 Differences in mean levels of stress group 0 Based on the confidence interval plot, determine which of the intervals represent a significant mean difference. Write an APA summary of your results, incorporating the information from items (a) -() p.