The test statistic for the hypothesis test is X² = 6.83. Recall that the rejection region for a chi-square test for independence is always in the right tail, X²2 > X2, based on the significance level a and degrees of freedom df = (r - 1)(c - 1), where r and c are the number of rows and columns, respectively. For the given hypothesis test, a = 0.05. There are r = 2 rows and c = 3 columns in the contingency table, so df = (2-1)(3-1) = The critical chi-square value with the above degrees of 2 freedom, rounded to two decimal places, is x² = X0.05² = State the rejection region, rounding to two decimal places. X² >
The test statistic for the hypothesis test is X² = 6.83. Recall that the rejection region for a chi-square test for independence is always in the right tail, X²2 > X2, based on the significance level a and degrees of freedom df = (r - 1)(c - 1), where r and c are the number of rows and columns, respectively. For the given hypothesis test, a = 0.05. There are r = 2 rows and c = 3 columns in the contingency table, so df = (2-1)(3-1) = The critical chi-square value with the above degrees of 2 freedom, rounded to two decimal places, is x² = X0.05² = State the rejection region, rounding to two decimal places. X² >
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Problem 1P
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Transcribed Image Text:The test statistic for the hypothesis test is X² = 6.83.
Recall that the rejection region for a chi-square test for independence is always in the right tail, X² > X2, based on the significance level a and degrees
of freedom df = (r - 1)(c 1), where r and c are the number of rows and columns, respectively. For the given hypothesis test, a = 0.05. There are
r = 2 rows and c = 3 columns in the contingency table, so df = (2-1)(3-1) =
The critical chi-square value with the above degrees of
2
freedom, rounded to two decimal places, is x² = X0.05²
State the rejection region, rounding to two decimal places.
X² >
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