4. Imagine we create simulated data for 83 people. Each "person" in the simulation writes two tests (test 1, test 2). As part of our simulation process - we created true scores, random errors, and observed scores for each person - on each test. The correlation between true scores on the two tests is 0.86. For test 1 observed scores: M =68.00, SD = 13.00, and 0.80. For test 2 observed scores: M = 67.00, SD = 10.00, and r = 0.75. What is the correlation between the observed scores? %3D %3D %3D (a) 0.74 (b) 0.55 (c) 0.67 (d) 0.77

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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4. Imagine we create simulated data for 83 people. Each "person" in the simulation writes two
tests (test 1, test 2). As part of our simulation process - we created true scores, random
errors, and observed scores for each person - on each test. The correlation between true
scores on the two tests is 0.86. For test 1 observed scores: M =68.00, SD = 13.00, and
0.80. For test 2 observed scores: M = 67.00, SD = 10.00, and r = 0.75. What is the
correlation between the observed scores?
%3D
%3D
%3D
%3D
(a) 0.74
(b) 0.55
(c) 0.67
(d) 0.77
Transcribed Image Text:4. Imagine we create simulated data for 83 people. Each "person" in the simulation writes two tests (test 1, test 2). As part of our simulation process - we created true scores, random errors, and observed scores for each person - on each test. The correlation between true scores on the two tests is 0.86. For test 1 observed scores: M =68.00, SD = 13.00, and 0.80. For test 2 observed scores: M = 67.00, SD = 10.00, and r = 0.75. What is the correlation between the observed scores? %3D %3D %3D %3D (a) 0.74 (b) 0.55 (c) 0.67 (d) 0.77
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