Which of the following accurately describes the chi-square test for independence? Question 13 options: It is similar to a single-sample t test because it uses one sample to test a hypothesis about one population. It is similar to a correlation because it uses one sample to evaluate the relationship between two variables. It is similar to an independent-measures t test because it uses separate samples to evaluate the difference between separate populations. It is similar to both a correlation and an independent-measures t test because it can be used to evaluate a relationship between variables or a difference between populations.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
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Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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Which of the following accurately describes the chi-square test for
independence?
Question 13 options:
It is similar to a single-sample t test because it uses one sample to
test a hypothesis about one population.
It is similar to a correlation because it uses one sample to evaluate
the relationship between two variables.
It is similar to an independent-measures t test because it uses
separate samples to evaluate the difference between separate
populations.
It is similar to both a correlation and an independent-measures t
test because it can be used to evaluate a relationship between
variables or a difference between populations.
Transcribed Image Text:Which of the following accurately describes the chi-square test for independence? Question 13 options: It is similar to a single-sample t test because it uses one sample to test a hypothesis about one population. It is similar to a correlation because it uses one sample to evaluate the relationship between two variables. It is similar to an independent-measures t test because it uses separate samples to evaluate the difference between separate populations. It is similar to both a correlation and an independent-measures t test because it can be used to evaluate a relationship between variables or a difference between populations.
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