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
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Based on the above
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.
Expert Solution
Step 1
The problem is related to correlation coefficients and its significance.
The number of observations N = 50
Step by step
Solved in 3 steps
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