C2. The following cross-tabulation, based on GSS18SSDS-B data, examines the relationshinbetween age (the independent variable) and presidential candidate one voted for in the2016 U.S. presidential election (dependent variable). Notice we have recoded age intofour categories: 18–29, 30–39, 40–49, and 50-59. Respondents of all other ages havebeen excluded from the analysis.Vote Clinton or Trump * RE_AGE CrosstabulationRE AGE18-2930-3940-4950-59TotalVoteClintonCount65967778316Clintonor Trump% within RE_AGE65.7%61.1%53.8%45.6%55.4%TrumpCount19425586202% within RE_AGE19.2%26.8%35.4%38.5%50.3% Vote Clinton or Trump * RE_AGE CrosstabulationRE AGE18-2930-3940-4950-59TotalOtherCountcandidate12171044(specify)% within RE_AGE12.1%10.8%7.0%2.9%7.7%Didn'tCountvote for18.president% within RE_AGE3.0%1.3%0.7%1.2%1.4%TotalCount99157143171570% within RE_AGE100.0%100.0%100.0%100.0%100.0%a. Which is the independent variable?b. What is the level of measurement for the independent variable and the dependentvariable?c. How would you describe the relationship between the two variables? Usepercentages in your answer.2.

Name: C2. The following cross-tabulation, based on GSS18SSDS-B data, examin
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Description: C2. The following cross-tabulation, based on GSS18SSDS-B data, examines the relationshinbetween age (the independent variable) and presidential candidate one voted for in the2016 U.S. presidential election (dependent variable). Notice we have recode

A variable means quantitative characteristics, which vary from unit to unit. So the variable is…

Math

Statistics

Vote Clinton or Trump * RE_AGE Crosstabulation RE AGE 18-29 30-39 40-49 50-59 Total Other candidate Count 12 17 10 44 (specify) % within RE_AGE 12.1% 10.8% 7.0% 2.9% 7.7% Didn't Count vote for 1 president % within RE_AGE 3.0% 1.3% 0.7% 1.2% 1.4% Total Count 99 157 143 171 570 % within RE_AGE 100.0% 100.0% 100.0% 100.0% 100.0%

Vote Clinton or Trump * RE_AGE Crosstabulation RE AGE 18-29 30-39 40-49 50-59 Total Other candidate Count 12 17 10 44 (specify) % within RE_AGE 12.1% 10.8% 7.0% 2.9% 7.7% Didn't Count vote for 1 president % within RE_AGE 3.0% 1.3% 0.7% 1.2% 1.4% Total Count 99 157 143 171 570 % within RE_AGE 100.0% 100.0% 100.0% 100.0% 100.0%

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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Concept explainers

2-Proportion Test

In a 2-proportion test, two separate proportions are measured at the same time, and their similarity is evaluated. It is also known as a 2-proportion z-test, and a comparison of two different proportions is done in this method.

Topic Video

Question

C2. The following cross-tabulation, based on GSS18SSDS-B data, examines the relationshin
between age (the independent variable) and presidential candidate one voted for in the
2016 U.S. presidential election (dependent variable). Notice we have recoded age into
four categories: 18–29, 30–39, 40–49, and 50-59. Respondents of all other ages have
been excluded from the analysis.
Vote Clinton or Trump * RE_AGE Crosstabulation
RE AGE
18-29
30-39
40-49
50-59
Total
Vote
Clinton
Count
65
96
77
78
316
Clinton
or Trump
% within RE_AGE
65.7%
61.1%
53.8%
45.6%
55.4%
Trump
Count
19
42
55
86
202
% within RE_AGE
19.2%
26.8%
35.4%
38.5%
50.3%

Vote Clinton or Trump * RE_AGE Crosstabulation
RE AGE
18-29
30-39
40-49
50-59
Total
Other
Count
candidate
12
17
10
44
(specify)
% within RE_AGE
12.1%
10.8%
7.0%
2.9%
7.7%
Didn't
Count
vote for
1
8.
president
% within RE_AGE
3.0%
1.3%
0.7%
1.2%
1.4%
Total
Count
99
157
143
171
570
% within RE_AGE
100.0%
100.0%
100.0%
100.0%
100.0%
a. Which is the independent variable?
b. What is the level of measurement for the independent variable and the dependent
variable?
c. How would you describe the relationship between the two variables? Use
percentages in your answer.
2.

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