Republican Democrat Other Total Test Statistics Chi-Square df affiliation Observed N Expected N 25 26.3 30 33.0 20 15.8 75 Asymp. Sig. affiliation 1.479ª a. 0 cells (0.0%) 2 .477 have expected frequencies less than 5. The minimum expected cell frequency is 15.8. Residual -1.3 -3.0 4.3

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.1: Measures Of Center
Problem 4GP
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Based on the scenario and the data output, I would like to confirm that we would reject the null hypothesis and if so does that indicate non-signifigant or significant when relating to a CHI-Square statistical test? Thank you  

Scenario: 

In the recent COVID-19 pandemic, a local precinct observed that of the 75 people who voted, 25 identified as republican, 30 were democrat, and 20 were “other”. Is this similar to pre-pandemic voting based on political party affiliations? At that same precinct, pre-pandemic voting based on political party affiliation was: 35%  republican, 44%  democrats, and 21% “other”. Enter in the 75 data points and expected values into SPSS to conduct the appropriate statistical test.

Republican
Democrat
Other
Total
Chi-Square
Test Statistics
df
Asymp. Sig.
Observed N
25
30
20
75
affiliation
affiliation
1.479ª
a. 0 cells (0.0%)
have expected
minimum
expected cell
frequency is
15.8.
2
477
frequencies
less than 5. The
Expected N Residual
26.3
-1.3
33.0
-3.0
15.8
4.3
hypothesis
Transcribed Image Text:Republican Democrat Other Total Chi-Square Test Statistics df Asymp. Sig. Observed N 25 30 20 75 affiliation affiliation 1.479ª a. 0 cells (0.0%) have expected minimum expected cell frequency is 15.8. 2 477 frequencies less than 5. The Expected N Residual 26.3 -1.3 33.0 -3.0 15.8 4.3 hypothesis
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