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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Author:Amos Gilat
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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?
Transcribed Image Text: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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