Question

You want to know whether people in different regions of the country are equally likely to vote Democratic, Republican, Independent, or Libertarian in the next election. You would use a A chi-square goodness-of-fit test. B either chi-square test, depending on how you set up the problem. C chi-square test of independence. D both chi-square tests, in order to check the results of one with the other.

Name: you want to know whether people in different regions of the country are equally likely to vote democratic republican independent or libertarian in the next election you would use a a chi squ 03824
Uploaded: 2022-04-21T12:36:26-08:00
Duration: 39 s
Channel: Qudsiya Anis
Description: you want to know whether people in different regions of the country are equally likely to vote democratic republican independent or libertarian in the next election you would use a a chi squ 03824

          You want to know whether people in different regions of the
country are equally likely to vote Democratic, Republican,
Independent, or Libertarian in the next election. You would use
a
A
chi-square goodness-of-fit test.
B
either chi-square test, depending on how you set up the
problem.
C
chi-square test of independence.
D
both chi-square tests, in order to check the results of one
with the other.

Added by Eric E.

Elementary Statistics a Step by Step Approach

Allan G. Bluman 9th Edition

Instant Answer

Solved by Expert Qudsiya Anis

04/21/2022

Step 1

In this case, we want to determine if people in different regions of the country are equally likely to vote for different political parties, so we need to use a test that checks for the homogeneity of data. ** Show more…

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You want to know whether people in different regions of the country are equally likely to vote Democratic, Republican, Independent, or Libertarian in the next election. You would use a A chi-square goodness-of-fit test. B either chi-square test, depending on how you set up the problem. C chi-square test of independence. D both chi-square tests, in order to check the results of one with the other.