Test whether the row and column variables are independent in the contingency table below. The critical value with two degrees of freedom is \( \chi^2_R = 9.210 \).| 30 | 12 | 20 ||-----|-----|-----|| 422 | 210 | 520 | This table is a contingency table with two rows and three columns, displaying the frequencies of certain variables. The task is to use the chi-square test for independence to determine whether there is a significant association between the row and column variables. We compare the calculated chi-square statistic to the critical value of 9.210 for two degrees of freedom to make this determination.

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Description: Test whether the row and column variables are independent in the contingency table below. The critical value with two degrees of freedom is \( \chi^2_R = 9.210 \).| 30 | 12 | 20 ||-----|-----|-----|| 422 | 210 | 520 | This table is a contingency

The hypotheses are given below: Null hypothesis: H0: The row and column variables are independent.…

Answered: Test whether the row and column…

Math

Statistics

Test whether the row and column variables are independent in the contingency table below. The critical value is with two degrees of freedom is x = 9.210. 30 12 20 422 210 520

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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