Test the following hypotheses for a multinomial probability distribution by using the x goodness of fit test. Но : РА — 0.40, рв — 0.40, and pc 3 0.20 Ha : The probabilities are not PA = 0.40 , PB = 0.40 , and pg = 0.20 A sample of size 200 yielded 60 in category A, 120 in category B, and 20 in category C. Use a = 0.01 and test to see whether the probabilities are as stated in Họ. a. Use the p-value approach. Use Table 3 of Appendix B. (to 2 decimals) = The p-value is Select your answer - Conclusion: Select your answer - b. Repeat the test using the critical value approach. Xó.01 (to 3 decimals)
Test the following hypotheses for a multinomial probability distribution by using the x goodness of fit test. Но : РА — 0.40, рв — 0.40, and pc 3 0.20 Ha : The probabilities are not PA = 0.40 , PB = 0.40 , and pg = 0.20 A sample of size 200 yielded 60 in category A, 120 in category B, and 20 in category C. Use a = 0.01 and test to see whether the probabilities are as stated in Họ. a. Use the p-value approach. Use Table 3 of Appendix B. (to 2 decimals) = The p-value is Select your answer - Conclusion: Select your answer - b. Repeat the test using the critical value approach. Xó.01 (to 3 decimals)
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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Test the following hypotheses for a multinomial probability distribution by using the x goodness of fit test.
![Test the following hypotheses for a multinomial probability distribution by using the \(\chi^2\) goodness of fit test.
\[
H_0: \, p_A = 0.40, \, p_B = 0.40, \, \text{and} \, p_C = 0.20
\]
\[
H_a: \, \text{The probabilities are not } p_A = 0.40, \, p_B = 0.40, \, \text{and} \, p_C = 0.20
\]
A sample of size 200 yielded 60 in category A, 120 in category B, and 20 in category C. Use \(\alpha = 0.01\) and test to see whether the probabilities are as stated in \(H_0\).
a. Use the p-value approach. Use Table 3 of Appendix B.
\[
\chi^2 = \, \text{(to 2 decimals)}
\]
The p-value is - Select your answer -.
Conclusion: - Select your answer -.
b. Repeat the test using the critical value approach.
\[
\chi^2_{0.01} = \, \text{(to 3 decimals)}
\]
\[
\chi^2 = \, \text{(to 2 decimals)}
\]
Conclusion: - Select your answer -.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F6b64a519-1474-49ec-8afb-98e9a37e1aea%2F119ce4a0-9e36-4415-8667-3355a9987e9f%2Fbtx2s21_processed.png&w=3840&q=75)
Transcribed Image Text:Test the following hypotheses for a multinomial probability distribution by using the \(\chi^2\) goodness of fit test.
\[
H_0: \, p_A = 0.40, \, p_B = 0.40, \, \text{and} \, p_C = 0.20
\]
\[
H_a: \, \text{The probabilities are not } p_A = 0.40, \, p_B = 0.40, \, \text{and} \, p_C = 0.20
\]
A sample of size 200 yielded 60 in category A, 120 in category B, and 20 in category C. Use \(\alpha = 0.01\) and test to see whether the probabilities are as stated in \(H_0\).
a. Use the p-value approach. Use Table 3 of Appendix B.
\[
\chi^2 = \, \text{(to 2 decimals)}
\]
The p-value is - Select your answer -.
Conclusion: - Select your answer -.
b. Repeat the test using the critical value approach.
\[
\chi^2_{0.01} = \, \text{(to 3 decimals)}
\]
\[
\chi^2 = \, \text{(to 2 decimals)}
\]
Conclusion: - Select your answer -.
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