7. Fill in the blanks and parenthesis based on the write up on A (statistical procedure) was conducted between (variable 1) and (variable 2). All expected cell frequencies were (greater/lesser) than 5. There was a (statistically significant/non statistically significant) association between (variable 1) and (variable 2), x'(df =?, n= ?) = ? (Can be found under the title Chi- square tests in the row Pearson Chi-square), p (</>) .05. (50% of grade)
7. Fill in the blanks and parenthesis based on the write up on A (statistical procedure) was conducted between (variable 1) and (variable 2). All expected cell frequencies were (greater/lesser) than 5. There was a (statistically significant/non statistically significant) association between (variable 1) and (variable 2), x'(df =?, n= ?) = ? (Can be found under the title Chi- square tests in the row Pearson Chi-square), p (</>) .05. (50% of grade)
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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Question
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#7
![7. Fill in the blanks and parenthesis based on the write up
on
A (statistical procedure) was conducted between
(variable 1) and (variable 2). All expected cell
frequencies were (greater/lesser) than 5. There was a
(statistically significant/non statistically significant)
association between (variable 1) and (variable 2), x'(df
=?, n= ?) = ? (Can be found under the title Chi-
square tests in the row Pearson Chi-square), p (</>)
.05. (50% of grade)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F3e749db4-6de4-4d45-947d-3b01aa068974%2F6773b9c4-ec5a-4d21-b266-6ea83216f003%2F73z0tbg_processed.jpeg&w=3840&q=75)
Transcribed Image Text:7. Fill in the blanks and parenthesis based on the write up
on
A (statistical procedure) was conducted between
(variable 1) and (variable 2). All expected cell
frequencies were (greater/lesser) than 5. There was a
(statistically significant/non statistically significant)
association between (variable 1) and (variable 2), x'(df
=?, n= ?) = ? (Can be found under the title Chi-
square tests in the row Pearson Chi-square), p (</>)
.05. (50% of grade)
![S Statistics Viewer
nsform Insert
Format Analyze Graphs
Utilities
Extensions
Window
Help
Case Processing Summary
Cases
Valid
Total
Missing
Percent
Percent
IN
IN
Percent
Visitors Treatment
39
100.0%
0.0%
39
100.0%
Visitors Treatment Crosstabulation
Treatment
1.00
2.00
3.00
Total
Visitors
1.00
Count
13
12
Expected Count
3.4
4.9
3.7
12.0
% within Visitors
75.0%
25.0%
0.0%
100.0%
% within Treatment
81.8%
18.8%
0.0%
30 8%
2.00
Count
1
12
14
Expected Count
3.9
5.7
4.3
14.0
% within Visitors
7.1%
85.7%
71%
100.0%
% within Treatment
9.1%
75.0%
8 3%
35.9%
3.00
Count
1
11
13
Expected Count
3.7
5.3
4.0
13.0
% within Visitors
7.7%
7.7%
84.6%
100.0%
% within Treatment
9.1%
6.3%
91.7%
33.3%
Total
Count
11
16
12
39
Expected Count
11.0
16.0
12.0
39.0
% within Visitors
28.2%
41.0%
30.8%
100.0%
% within Treatment
100.0%
100.0%
100.0%
100.0%
IBM SPSS Statistics Processor is ready
otal
Count
11
16
12
39
Expected Count
11.0
16.0
12.0
39.0
% within Visitors
28.2%
41.0%
30.8%
100.0%
% within Treatment
100.0%
100.0%
100.0%
100.0%
Chi-Square Tests
Asymptotic
Significance
(2-sided)
Value
df
Pearson Chi-Square
43.027
4
<.001
Likelihood Ratio
42.957
4.
< 001
Linear-by-Linear
Association
23.844
< 001
N of Valid Cases
39
a. 7 cells (77.8%) have expected count less than 5. The
minimum expected count is 3.38.
Symmetric Measures
Asymptotic
Standard
Error
Approximate
Tb
Approximate
Significance
Value
Measure of Agreement
Каppа
729
093
6.447
< 001
N of Valid Cases
39
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
IBM SPSS Statistics Proc](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F3e749db4-6de4-4d45-947d-3b01aa068974%2F6773b9c4-ec5a-4d21-b266-6ea83216f003%2F3r38rb9_processed.jpeg&w=3840&q=75)
Transcribed Image Text:S Statistics Viewer
nsform Insert
Format Analyze Graphs
Utilities
Extensions
Window
Help
Case Processing Summary
Cases
Valid
Total
Missing
Percent
Percent
IN
IN
Percent
Visitors Treatment
39
100.0%
0.0%
39
100.0%
Visitors Treatment Crosstabulation
Treatment
1.00
2.00
3.00
Total
Visitors
1.00
Count
13
12
Expected Count
3.4
4.9
3.7
12.0
% within Visitors
75.0%
25.0%
0.0%
100.0%
% within Treatment
81.8%
18.8%
0.0%
30 8%
2.00
Count
1
12
14
Expected Count
3.9
5.7
4.3
14.0
% within Visitors
7.1%
85.7%
71%
100.0%
% within Treatment
9.1%
75.0%
8 3%
35.9%
3.00
Count
1
11
13
Expected Count
3.7
5.3
4.0
13.0
% within Visitors
7.7%
7.7%
84.6%
100.0%
% within Treatment
9.1%
6.3%
91.7%
33.3%
Total
Count
11
16
12
39
Expected Count
11.0
16.0
12.0
39.0
% within Visitors
28.2%
41.0%
30.8%
100.0%
% within Treatment
100.0%
100.0%
100.0%
100.0%
IBM SPSS Statistics Processor is ready
otal
Count
11
16
12
39
Expected Count
11.0
16.0
12.0
39.0
% within Visitors
28.2%
41.0%
30.8%
100.0%
% within Treatment
100.0%
100.0%
100.0%
100.0%
Chi-Square Tests
Asymptotic
Significance
(2-sided)
Value
df
Pearson Chi-Square
43.027
4
<.001
Likelihood Ratio
42.957
4.
< 001
Linear-by-Linear
Association
23.844
< 001
N of Valid Cases
39
a. 7 cells (77.8%) have expected count less than 5. The
minimum expected count is 3.38.
Symmetric Measures
Asymptotic
Standard
Error
Approximate
Tb
Approximate
Significance
Value
Measure of Agreement
Каppа
729
093
6.447
< 001
N of Valid Cases
39
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
IBM SPSS Statistics Proc
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