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1. A correlational analysis can be calculated as the pattern of how the two vari

ID: 3374901 • Letter: 1

Question

1. A correlational analysis can be calculated as the pattern of how the two variables change in value. Because the two variables are on different measurements, the scores need to be converted into Z scores so the variables can be examined together. To calculate Z scores, we need the mean and standard deviation for each variable. Enter the standard deviation for anxiety level. (Round the answer to 2 decimal places)?

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2. A correlational analysis can be calculated as the pattern of how the two variables change in value. Because the two variables are on different measurements, the scores need to be converted into Z scores so the variables can be examined together. To calculate Z scores, we need the mean and standard deviation for each variable. Enter the standard deviation for externalizing behavior. (Round the answer to 2 decimal places)

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3. Calculate the correlation coefficient r value using the Z scores for the two variables. (Round the answer to 2 decimal places)

4. What is the proportion of variance shared by anxiety level and externalizing behavior? In other words, how much of the variance in externalizing behavior can be predicted by the variance in anxiety level, or vice versa? (Round the answer to 2 decimal places)

5. What is the effect size in this hypothesis test? (Round the answer to 2 decimal places)

Subject ID

Externalizing Anxiety 1 9 37 2 7 23 3 7 26 4 3 21 5 11 42 6 6 33 7 2 26 8 6 35 9 6 23 10 9 28

Explanation / Answer

Solution1:

Z scores are calculated as Z=x-mean/stddev

Mean for Externalizing=6.6

stdev for Externalizing=2.72

Mean for Anxiety=29.4

Sd for Anxiety=6.98

Subject ID Externalizing Anxiety Zexternalizing Z anxiety 1 9 37 0.88 1.09 2 7 23 0.15 -0.92 3 7 26 0.15 -0.49 4 3 21 -1.33 -1.20 5 11 42 1.62 1.81 6 6 33 -0.22 0.52 7 2 26 -1.69 -0.49 8 6 35 -0.22 0.80 9 6 23 -0.22 -0.92 10 9 28 0.88 -0.20 mean 6.6 29.4 standard deviation 2.72 6.979334575