Error
There was an error loading the page.
Calculate Pearson correlation coefficient
Draft
Calculate the Pearson correlation coefficient on paired data and comment on the significance.
Metadata
-
England schools
-
England university
-
Scotland schools
Taxonomy: mathcentre
Taxonomy: Kind of activity
Taxonomy: Context
Contributors
History
Newcastle University Mathematics and Statistics 9 years, 3 months ago
Created this.Name | Status | Author | Last Modified | |
---|---|---|---|---|
Calculate Pearson correlation coefficient | draft | Newcastle University Mathematics and Statistics | 20/11/2019 14:50 | |
CorrelationInference-Couples | Ready to use | Mario Orsi | 04/03/2021 12:18 |
There are 6 other versions that do you not have access to.
Name | Type | Generated Value |
---|
tsqovern | list |
[ 1200.5, 630.125 ]
|
||||
obj | list |
List of 8 items
|
||||
r1 | list |
List of 8 items
|
||||
r2 | list |
List of 8 items
|
||||
ss | list |
[ 327.5, 148.875 ]
|
||||
m | integer |
20
|
||||
k | integer |
3
|
||||
ssq | list |
[ 1528, 779 ]
|
||||
ssd | number |
36
|
||||
n | integer |
8
|
||||
spcoef | number |
0.429
|
||||
corrcoef | number |
0.685
|
||||
vs | list |
[ 0, 0, 0, 0, 1 ]
|
||||
spxy | number |
151.25
|
||||
t | list |
[ 98, 71 ]
|
||||
tol | number |
0.001
|
||||
v | list |
[ 0, 0, 0, 1, 0 ]
|
||||
sxy | number |
1021
|
||||
rr2 | list |
[ 3, 2, 4, 6, 1, 7, 5, 8 ]
|
||||
rr1 | list |
[ 2, 4, 6, 7, 1, 8, 5, 3 ]
|
||||
d | list |
[ -1, 2, 2, 1, 0, 1, 0, -5 ]
|
Generated value: list
[ 1200.5, 630.125 ]
← Depends on:
- n
- t
This variable doesn't seem to be used anywhere.
Parts
Gap-fill
Ask the student a question, and give any hints about how they should answer this part.
Wife $(X)$ | $\sum x=\;$ |
$\sum x^2=\;$ |
---|---|---|
Husband $(Y)$ | $\sum y=\;$ |
$\sum y^2=\;$ |
Also find $\sum xy=\;$
$\displaystyle SSX = \;$
$\displaystyle SSY = \;$
$\displaystyle SPXY = \;$
Hence calculate the correlation coefficient $r$:
$r=\;$
Use this tab to check that this question works as expected.
Part | Test | Passed? |
---|---|---|
Gap-fill | ||
Hasn't run yet | ||
Number entry | ||
Hasn't run yet | ||
Number entry | ||
Hasn't run yet | ||
Number entry | ||
Hasn't run yet | ||
Number entry | ||
Hasn't run yet | ||
Number entry | ||
Hasn't run yet | ||
Number entry | ||
Hasn't run yet | ||
Number entry | ||
Hasn't run yet | ||
Number entry | ||
Hasn't run yet | ||
Number entry | ||
Hasn't run yet | ||
Gap-fill | ||
Hasn't run yet | ||
Number entry | ||
Hasn't run yet | ||
Number entry | ||
Hasn't run yet | ||
Number entry | ||
Hasn't run yet | ||
Number entry | ||
Hasn't run yet | ||
Choose one from a list | ||
Hasn't run yet |
This question is used in the following exams:
- Correlation Practice by Newcastle University Mathematics and Statistics in Content created by Newcastle University.
- David's copy of Statistics for experimental psychology by David Rickard in David's workspace.
- Statistics for experimental psychology by Newcastle University Mathematics and Statistics in Content created by Newcastle University.
- Jia's copy of Correlation Practice by Jia Shao in Jia's workspace.