The following data represent the means for each treatment condition in a two-factor experiment. What pattern of results is shown in the data?A1A2B1M = 20M = 40%3DB2M = 20M = 40O Main effects for both factors and an interactionO Main effects for both factors and no interactionO A main effect for factor A, no main effect for factor B, and no interactionO A main effect for factor A and an interaction but no main effect for factor B

Answered: Image /qna-images/answer/4f956dfa-0dc0-4aa5-a460-7b9a03725bf2.jpg

Answered: The following data represent the means…

Calculus For The Life Sciences

2nd Edition

ISBN:9780321964038

Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Chapter1: Functions

Section1.2: The Least Square Line

Problem 5E

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A researcher conducts an independent-measures study examining the effectiveness of a group exercise program at an assisted living facility for elderly adults. One group of residents is selected to participate in the program, and a second group serves as a control. After 6 weeks, the researcher records a combined score measuring balance and strength for each individual. The data are as follows: Control Exercise n = 10 n = 15 M = 12 M = 15.5 SS = 120.5 SS = 190.0 Does the exercise program have a significant effect? Use an alpha level of .05, two tails. Compute Cohen’s d to measure the size of the treatment effect.
A researcher conducts and independent- measures study examining the effectiveness of a group exercise program at an assisted living facility for elderly adults. One group of residents is selected to participate in the program, and a second group serves as a control. After 6 weeks, the research records a combined score measuring balance and strength for each individual. The data are as follows: Control Exercise n = 10 n = 15 M = 12 M = 15.5 SS = 120.5 SS = 190.0 %3D 1. Does the exercise program have a significant effect? Use an alpha level of .05, two tails. Show all calculations. a. State the research hypotheses b. Identify the critical value c. Calculate the test statistic d. Evaluate the null hypothesis 2. Compute Cohens d to measure the effect size of the treatment.
A researcher conducts an independent-measures study examining how the brain chemical serotonin is related to aggression. One sample of rats serves as a control group and receives a placebo that does not affect normal levels of serotonin. A second sample of rats receives a drug that lowers brain levels of serotonin. Then the researcher tests the animals by recording the number of aggressive responses each of the rats display. The data are as follows. Control Low Serotonin n = 15 n = 20 M = 18 M = 22 SS = 172.5 SS = 135.0 a. What research design was used to answer this question? b. What was the scale of measurement for the dependent variable? c. What was the scale of measurement for the independent variable? d. Does the drug have a significant effect on aggression? Use an alpha level of .05, two tails. e. Compute r2 and write an…
A researcher conducts an independent-measures study examining how the brain chemical serotonin is related to aggression. One sample of rats serves as a control group and receives a placebo that does not affect normal levels of serotonin. A second sample of rats receives a drug that lowers brain levels of serotonin. Then the researcher tests the animals by recording the number of aggressive responses each of the rats display. The data are as follows. Control Low Serotonin n = 10 n = 15 M = 14 M = 19 SS = 180.5 SS = 130.0 A. Does the drug have a significant effect on aggression?Use an alpha level of .05, two tails. H0 = ________________________________________ df = _________________________________________ tcritical =…
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What variable of this study could have been controlled?
Researcher conducts an independent-measures, two-factor study with two levels of Factor A and three levels of Factor B, using a sample of N=10 participants in each treatment condition. a. What are the df values for the F-ratio evaluating the main effect of factor A? B. What are the df values for the F-ratio evaluating the main effect of factor B? C. what are the df values for the F-ratio evaluating the interaction?
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After completing the experiment, Kendall wants to see if the difference between the averages for the control and treatment groups was due to the treatment or not. To investigate this, she performs a significance test. The first step is to do a simulation using the data. She randomly reorganizes all of the data into two groups, A and B, each of size 25. In this simulation, group A plays the role of the treatment group and group B plays the role of the control group. Group A: quiz scores 63 79 72 69 68 72 69 73 72 77 84 83 71 74 80 84 63 79 77 78 73 83 72 72 75 Mean: 74.48 Group B: quiz scores 68 88 79 62 84 71 72 61 71 76 79 77 73 87 88 72 81 80 60 84 80 70 89 81 69 Mean: 76.08 Remember that the average for the treatment group was 2.4 higher than the average for the control group in the original experiment. Kendall wants to compare this with the simulation results. So, she subtracts the average for group B from the average for group A. What is this value?

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