We are interested in determining whether the opinions of the individuals of the three groups are uniformly distributed. Using an α = .05 level of significance to carry out the hypothesis test. (Be sure to say whether you reject or not reject Ho and why)

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We are interested in determining whether the opinions of the individuals of the three groups are uniformly distributed. Using an α = .05 level of significance to carry out the hypothesis test. (Be sure to say whether you reject or not reject Ho and why)

The following shows the number of individuals in a sample of 300 who indicated they support the new tax proposal.
Political Party
Democrats
Republicans
Independents
We are interested in determining whether the opinions of the individuals of the three groups are uniformly distributed. Using an a = .05 level of significance to carry out the hypothesis test. (Be sure to say whether you reject or not reject Ho and why)
Political Party
Democrats
Republicans
Independents
Total
Chi-square values
A
B
C
Total
Hypothesized Probabil Expected Frequency
Test Statistic
P-value
Degrees of Freedom
Support
100
120
80
Critical Value
1
Observed Frequency
100
120
80
300
0
OOO O
#DIV/0!
#DIV/0!
#NUM!
0
#DIV/0!
#DIV/0!
0
#DIV/0!
#DIV/0!
Degrees of freedom - k-1
Transcribed Image Text:The following shows the number of individuals in a sample of 300 who indicated they support the new tax proposal. Political Party Democrats Republicans Independents We are interested in determining whether the opinions of the individuals of the three groups are uniformly distributed. Using an a = .05 level of significance to carry out the hypothesis test. (Be sure to say whether you reject or not reject Ho and why) Political Party Democrats Republicans Independents Total Chi-square values A B C Total Hypothesized Probabil Expected Frequency Test Statistic P-value Degrees of Freedom Support 100 120 80 Critical Value 1 Observed Frequency 100 120 80 300 0 OOO O #DIV/0! #DIV/0! #NUM! 0 #DIV/0! #DIV/0! 0 #DIV/0! #DIV/0! Degrees of freedom - k-1
Expert Solution
Introduction

Chi square test is used to measure the association between the categorical variable. It explain the relationship between the expected and observed values. It compared using the p value approach and critical value approach. In the p value approach, the p value less than level of significance then the null hypothesis is rejected, otherwise not. 

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