Looking at the tables for crosstabulation for Respondents Race, Highest Degree, and Respondents sex. How do we find out which one of these is the independent, dependent and or dummy variable? Also, how would you come up with an example for
Looking at the tables for crosstabulation for Respondents Race, Highest Degree, and Respondents sex. How do we find out which one of these is the independent, dependent and or dummy variable? Also, how would you come up with an example for
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
Looking at the tables for crosstabulation for Respondents Race, Highest Degree, and Respondents sex. How do we find out which one of these is the independent, dependent and or dummy variable? Also, how would you come up with an example for a Hypothesis for this?
This is all one doccument. Table was too large. The first image is the top of the crosstab.
![RESPONDENTS SEX *RS HIGHEST DEGREE * RACE OF RESPONDENT Crosstabulation
RACE OF RESPONDENT
RS HIGHEST DEGREE
JUNIOR
COLLEGE
LT HIGH
SCHOOL
HIGH SCHOOL
BACHELOR
GRADUATE
Total
WHITE
RESPONDENTS SEX
MALE
Count
92
327
43
146
81
689
% within RESPONDENTS SEX
13.4%
47.5%
6.2%
21.2%
11.8%
100.0%
FEMALE
Count
103
431
59
173
95
861
% within RESPONDENTS SEX
12.0%
50.1%
6.9%
20.1%
11.0%
100.0%
Total
Count
195
758
102
319
176
1550
% within RESPONDENTS SEX
12.6%
48.9%
6.6%
20.6%
11.4%
100.0%
BLACK
RESPONDENTS SEX
MALE
Count
32
60
13
118
% within RESPONDENTS SEX
27.1%
50.8%
4.2%
11.0%
6.8%
100.0%
FEMALE
Count
31
102
28
20
12
193](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F985faa7b-eb2f-4c1e-b4cd-00f056084517%2F81223cae-3f5a-4c90-bf18-ab4dd510f2fe%2Fyvmuk1a_processed.png&w=3840&q=75)
Transcribed Image Text:RESPONDENTS SEX *RS HIGHEST DEGREE * RACE OF RESPONDENT Crosstabulation
RACE OF RESPONDENT
RS HIGHEST DEGREE
JUNIOR
COLLEGE
LT HIGH
SCHOOL
HIGH SCHOOL
BACHELOR
GRADUATE
Total
WHITE
RESPONDENTS SEX
MALE
Count
92
327
43
146
81
689
% within RESPONDENTS SEX
13.4%
47.5%
6.2%
21.2%
11.8%
100.0%
FEMALE
Count
103
431
59
173
95
861
% within RESPONDENTS SEX
12.0%
50.1%
6.9%
20.1%
11.0%
100.0%
Total
Count
195
758
102
319
176
1550
% within RESPONDENTS SEX
12.6%
48.9%
6.6%
20.6%
11.4%
100.0%
BLACK
RESPONDENTS SEX
MALE
Count
32
60
13
118
% within RESPONDENTS SEX
27.1%
50.8%
4.2%
11.0%
6.8%
100.0%
FEMALE
Count
31
102
28
20
12
193
![% within RESPONDENTS SEX
16.1%
52.8%
14.5%
10.4%
6.2%
100.0%
Total
Count
63
162
33
33
20
311
% within RESPONDENTS SEX
20.3%
52.1%
10.6%
10.6%
6.4%
100.0%
OTHER
RESPONDENTS SEX
MALE
Count
19
40
3
11
11
84
within RESPONDENTS SEX
22.6%
47.6%
3.6%
13.1%
13.1%
100.0%
FEMALE
Count
28
41
7
12
11
99
% within RESPONDENTS SEX
28.3%
41.4%
7.1%
12.1%
11.1%
100.0%
Total
Count
47
81
10
23
22
183
% within RESPONDENTS SEX
25.7%
44.3%
5.5%
12.6%
12.0%
100.0%
Total
RESPONDENTS SEX
MALE
Count
143
427
51
170
100
891
% within RESPONDENTS SEX
16.0%
47.9%
5.7%
19.1%
11.2%
100.0%
FEMALE
Count
162
574
94
205
118
1153
% within RESPONDENTS SEX
14.1%
49.8%
8.2%
17.8%
10.2%
100.0%
Total
Count
305
1001
145
375
218
2044
% within RESPONDENTS SEX
14.9%
49.0%
7.1%
18.3%
10.7%
100.0%
Chi-Square Tests
Asymptotic
Significance (2-
sided)
RACE OF RESPONDENT
Value
df
WHITE
Pearson Chi-Square
1.733
4
0.785
Likelihood Ratio
1.732
4
0.785
Linear-by-Linear Association
0.137
1
0.711
N of Valid Cases
1550
BLACK
Pearson Chi-Square
11.821°
4
0.019
Likelihood Ratio
12.741
4
0.013
Linear-by-Linear Association
2.016
1
0.156
N of Valid Cases
311
OTHER
Pearson Chi-Square
2.164
0.706
Likelihood Ratio
2.205
4
0.698
Linear-by-Linear Association
0.265
0.607
N of Valid Cases
183
Total
Pearson Chi-Square
6.804
4
0.147
Likelihood Ratio
6.879
4
0.142
Linear-by-Linear Association
0.042
1
0.837
N of Valid Cases
2044
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 63.21.
b. 0 cells (.0%) have expected count less than 5. The minimum expected count is 45.34.
c. O cells (.0%) have expected count less than 5. The minimum expected count is 7.59.
d. 1 cells (10.0%) have expected count less than 5. The minimum expected count is 4.59.
Symmetric Measures
Asymptotic
Standard Errora
Approximate
Significance
RACE OF RESPONDENT
Value
Approximate T
WHITE
Nominal by Nominal
Phi
0.033
0.785
Cramer's V
0.033
0.785
Ordinal by Ordinal
Gamma
Zero-Order
-0.008
0.040
-0.196
0.845
N of Valid Cases
1550
BLACK
Nominal by Nominal
Phi
0.195
0.019
Cramer's V
0.195
0.019
Ordinal by Ordinal
Gamma
Zero-Order
0.200
0.094
2.118
0.034
N of Valid Cases
311
OTHER
Nominal by Nominal
Phi
0.109
0.706
Cramer's V
0.109
0.706
Ordinal by Ordinal
Gamma
Zero-Order
-0.067
0.114
-0.585
0.559
N of Valid Cases
183
Total
Nominal by Nominal
Phi
0.058
0.147
Cramer's V
0.058
0.147
Ordinal by Ordinal
Gamma
Zero-Order
0.007
0.035
0.201
0.841
First-Order Partial
-0.001
N of Valid Cases
2044
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F985faa7b-eb2f-4c1e-b4cd-00f056084517%2F81223cae-3f5a-4c90-bf18-ab4dd510f2fe%2Fb0wdjr7_processed.jpeg&w=3840&q=75)
Transcribed Image Text:% within RESPONDENTS SEX
16.1%
52.8%
14.5%
10.4%
6.2%
100.0%
Total
Count
63
162
33
33
20
311
% within RESPONDENTS SEX
20.3%
52.1%
10.6%
10.6%
6.4%
100.0%
OTHER
RESPONDENTS SEX
MALE
Count
19
40
3
11
11
84
within RESPONDENTS SEX
22.6%
47.6%
3.6%
13.1%
13.1%
100.0%
FEMALE
Count
28
41
7
12
11
99
% within RESPONDENTS SEX
28.3%
41.4%
7.1%
12.1%
11.1%
100.0%
Total
Count
47
81
10
23
22
183
% within RESPONDENTS SEX
25.7%
44.3%
5.5%
12.6%
12.0%
100.0%
Total
RESPONDENTS SEX
MALE
Count
143
427
51
170
100
891
% within RESPONDENTS SEX
16.0%
47.9%
5.7%
19.1%
11.2%
100.0%
FEMALE
Count
162
574
94
205
118
1153
% within RESPONDENTS SEX
14.1%
49.8%
8.2%
17.8%
10.2%
100.0%
Total
Count
305
1001
145
375
218
2044
% within RESPONDENTS SEX
14.9%
49.0%
7.1%
18.3%
10.7%
100.0%
Chi-Square Tests
Asymptotic
Significance (2-
sided)
RACE OF RESPONDENT
Value
df
WHITE
Pearson Chi-Square
1.733
4
0.785
Likelihood Ratio
1.732
4
0.785
Linear-by-Linear Association
0.137
1
0.711
N of Valid Cases
1550
BLACK
Pearson Chi-Square
11.821°
4
0.019
Likelihood Ratio
12.741
4
0.013
Linear-by-Linear Association
2.016
1
0.156
N of Valid Cases
311
OTHER
Pearson Chi-Square
2.164
0.706
Likelihood Ratio
2.205
4
0.698
Linear-by-Linear Association
0.265
0.607
N of Valid Cases
183
Total
Pearson Chi-Square
6.804
4
0.147
Likelihood Ratio
6.879
4
0.142
Linear-by-Linear Association
0.042
1
0.837
N of Valid Cases
2044
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 63.21.
b. 0 cells (.0%) have expected count less than 5. The minimum expected count is 45.34.
c. O cells (.0%) have expected count less than 5. The minimum expected count is 7.59.
d. 1 cells (10.0%) have expected count less than 5. The minimum expected count is 4.59.
Symmetric Measures
Asymptotic
Standard Errora
Approximate
Significance
RACE OF RESPONDENT
Value
Approximate T
WHITE
Nominal by Nominal
Phi
0.033
0.785
Cramer's V
0.033
0.785
Ordinal by Ordinal
Gamma
Zero-Order
-0.008
0.040
-0.196
0.845
N of Valid Cases
1550
BLACK
Nominal by Nominal
Phi
0.195
0.019
Cramer's V
0.195
0.019
Ordinal by Ordinal
Gamma
Zero-Order
0.200
0.094
2.118
0.034
N of Valid Cases
311
OTHER
Nominal by Nominal
Phi
0.109
0.706
Cramer's V
0.109
0.706
Ordinal by Ordinal
Gamma
Zero-Order
-0.067
0.114
-0.585
0.559
N of Valid Cases
183
Total
Nominal by Nominal
Phi
0.058
0.147
Cramer's V
0.058
0.147
Ordinal by Ordinal
Gamma
Zero-Order
0.007
0.035
0.201
0.841
First-Order Partial
-0.001
N of Valid Cases
2044
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
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