Test 2 Test 1 1.00 Test 3 Test 4 Test 1 Test 2 Correlations for Group 2 (N = Test 3 Test 1 Test 2 Test 3 Test 4 Test 4 Correlations for Group 2 (repeated) 1.00 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 -.067 .644 50 -.444" .001 50 1.00 .710" .000 50 Test 2 -.067 .644 50 1.000 50 264 .064 50 -.267 .061 50 **. Correlation is significant at the 0.01 level (2-tailed). a. gender 2 Girls Test 3 -.444" .001 50 264 .064 50 1.000 50 -.722** .000 50 Test 4 .710" .000 50 -.267 .061 50 -.722" .000 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 r = Which pair of tests has the strongest negative correlation? Test Test and 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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6th Edition
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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Based on the above Correlation Matrix for Group2, 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 2 (N =
Test 3
Test 1 Test 2 Test 3 Test 4
Test 4
Correlations for Group 2 (repeated)
1.00
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
1.00
Correlationsª
Test 1
1.000
50
-.067
.644
50
-.444"
.001
50
.710"
.000
50
Test 2
-.067
.644
50
1.000
50
.264
.064
50
-.267
.061
50
**. Correlation is significant at the 0.01 level (2-tailed).
a. gender = 2 Girls
Test 3
-.444"
.001
50
.264
.064
50
1.000
50
-.722"
.000
50
Test 4
.710"
.000
50
-.267
.061
50
-.722"
.000
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
r =
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.
Transcribed Image Text:Test 2 Test 1 1.00 Test 3 Test 4 Test 1 Test 2 Correlations for Group 2 (N = Test 3 Test 1 Test 2 Test 3 Test 4 Test 4 Correlations for Group 2 (repeated) 1.00 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 1.00 Correlationsª Test 1 1.000 50 -.067 .644 50 -.444" .001 50 .710" .000 50 Test 2 -.067 .644 50 1.000 50 .264 .064 50 -.267 .061 50 **. Correlation is significant at the 0.01 level (2-tailed). a. gender = 2 Girls Test 3 -.444" .001 50 .264 .064 50 1.000 50 -.722" .000 50 Test 4 .710" .000 50 -.267 .061 50 -.722" .000 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 r = 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.
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