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Test 2 Test 1 1.00 Test 3 Test 4 Test 1 Test 2 Correlations for Group 1 (N = Test 3 Test 1 Test 2 Test 3 Test 4 Test 4 1.00 Correlations for Group 1 (repeated) Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N 1.00 Pearson Correlation Sig. (2-tailed) N Correlationsa Test 1 1.000 1.00 50 -.087 549 50 -.364** .009 50 .945** .000 50 Test 2 -.087 549 50 1.000 50 .550** .000 50 -.160 267 50 **. Correlation is significant at the 0.01 level (2-tailed). *. Correlation is significant at the 0.05 level (2-tailed). a. gender = 1 Boys Test 3 -.364" .009 50 .550** .000 50 1.000 50 -.312 .027 50 Test 4 .945** .000 50 -.160 267 50 -.312* .027 50 1.000 ) 50 Which pair of tests has the strongest overall correlation? Test and Test r= Which pair of tests has the strongest positive correlation? Test and Test Which pair of tests has the strongest negative correlation? Test and Test r = Which pair of tests has the weakest overall correlation? Test and Test r = Which pair of tests has the weakest positive correlation? Test and Test r = Which pair of tests has the weakest negative correlation? Test and Test r = Which pair(s) of tests had a correlation significantly greater than (different from) zero? Hint: you will need to look back at the SPSS output. r=

Test 2 Test 1 1.00 Test 3 Test 4 Test 1 Test 2 Correlations for Group 1 (N = Test 3 Test 1 Test 2 Test 3 Test 4 Test 4 1.00 Correlations for Group 1 (repeated) Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N 1.00 Pearson Correlation Sig. (2-tailed) N Correlationsa Test 1 1.000 1.00 50 -.087 549 50 -.364** .009 50 .945** .000 50 Test 2 -.087 549 50 1.000 50 .550** .000 50 -.160 267 50 **. Correlation is significant at the 0.01 level (2-tailed). *. Correlation is significant at the 0.05 level (2-tailed). a. gender = 1 Boys Test 3 -.364" .009 50 .550** .000 50 1.000 50 -.312 .027 50 Test 4 .945** .000 50 -.160 267 50 -.312* .027 50 1.000 ) 50 Which pair of tests has the strongest overall correlation? Test and Test r= Which pair of tests has the strongest positive correlation? Test and Test Which pair of tests has the strongest negative correlation? Test and Test r = Which pair of tests has the weakest overall correlation? Test and Test r = Which pair of tests has the weakest positive correlation? Test and Test r = Which pair of tests has the weakest negative correlation? Test and Test r = Which pair(s) of tests had a correlation significantly greater than (different from) zero? Hint: you will need to look back at the SPSS output. r=

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Based on the above Correlation Matrix for Group1, complete the following table. Then answer the following questions based on the tabled information and the SPSS output.

Test 2 Test 1 1.00 Test 3 Test 4 Test 1 Test 2 Correlations for Group 1 (N = Test_3 Test 1 Test 2 Test 3 Test 4 Test 4 1.00 Correlations for Group 1 (repeated) Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N 1.00 Pearson Correlation Sig. (2-tailed) N Correlationsa Test 1 1.000 50 -.087 549 50 1.00 -.364" .009 50 .945" .000 50 Test 2 -.087 .549 50 1.000 50 .550** .000 50 -.160 .267 50 **. Correlation is significant at the 0.01 level (2-tailed). *. Correlation is significant at the 0.05 level (2-tailed). a. gender 1 Boys Test 3 -.364" .009 50 .550 .000 50 1.000 50 -.312 .027 50 Test 4 .945 .000 50 -.160 .267 50 -.312 .027 50 1.000 ) 50 Which pair of tests has the strongest overall correlation? Test and Test r = Which pair of tests has the strongest positive correlation? Test and Test Which pair of tests has the strongest negative correlation? Test and r= Test r = Which pair of tests has the weakest overall correlation? Test and Test r = Which pair of tests has the weakest positive correlation? Test and Test r = Which pair of tests has the weakest negative correlation? Test and Test r = Which pair(s) of tests had a correlation significantly greater than (different from) zero? Hint: you will need to look back at the SPSS output.
Transcribed Image Text:Test 2 Test 1 1.00 Test 3 Test 4 Test 1 Test 2 Correlations for Group 1 (N = Test_3 Test 1 Test 2 Test 3 Test 4 Test 4 1.00 Correlations for Group 1 (repeated) Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N 1.00 Pearson Correlation Sig. (2-tailed) N Correlationsa Test 1 1.000 50 -.087 549 50 1.00 -.364" .009 50 .945" .000 50 Test 2 -.087 .549 50 1.000 50 .550** .000 50 -.160 .267 50 **. Correlation is significant at the 0.01 level (2-tailed). *. Correlation is significant at the 0.05 level (2-tailed). a. gender 1 Boys Test 3 -.364" .009 50 .550 .000 50 1.000 50 -.312 .027 50 Test 4 .945 .000 50 -.160 .267 50 -.312 .027 50 1.000 ) 50 Which pair of tests has the strongest overall correlation? Test and Test r = Which pair of tests has the strongest positive correlation? Test and Test Which pair of tests has the strongest negative correlation? Test and r= Test r = Which pair of tests has the weakest overall correlation? Test and Test r = Which pair of tests has the weakest positive correlation? Test and Test r = Which pair of tests has the weakest negative correlation? Test and Test r = Which pair(s) of tests had a correlation significantly greater than (different from) zero? Hint: you will need to look back at the SPSS output.
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The problem is related to correlation coefficients and its significance.

The number of observations N = 50

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