Test the null hypothesis of independence of the two classifications A and B of the accompanying contingency table. Use -0.05 Click the icon to view the ta Specify the null and alternative hypotheses. Choose the comnect answer below OA. H₂: The row and column classifications are dependent H, The row and column classifications are independent OB H₂ The row and column classifications independent H,: The row and column classifications are dependent OC. H₂ The classifications A, and B, are independent H. The classifications A, and B, are dependent Find the test statistic ✓ (Round to the nearest hundredth as needed.) Specify the rejection region. Choose the comect answer below OA²>384106 OB²>15.5073 OC. >9.48773 OD 16.9190 State the conclusion. Choose the correct answer below OA. Fail to reject H₂, there is insufficient evidence to indicate the row and column classification are dependent at 0.05. OB. Reject H₂, there is insufficient evidence to indicate the row and column classification are dependent at 0.05 OC. Reject H₂, there is sufficient evidence to indicate the row and column classification are dependent at 0.05. OD. Fail to reject H₂, there is sufficient evidence to indicate the row and column classification are dependent at -0.05. 1: Data Table A₂ A₂ 8, 41 63 31 B B₂ 73 53 37 8₂ 43 70 30
Test the null hypothesis of independence of the two classifications A and B of the accompanying contingency table. Use -0.05 Click the icon to view the ta Specify the null and alternative hypotheses. Choose the comnect answer below OA. H₂: The row and column classifications are dependent H, The row and column classifications are independent OB H₂ The row and column classifications independent H,: The row and column classifications are dependent OC. H₂ The classifications A, and B, are independent H. The classifications A, and B, are dependent Find the test statistic ✓ (Round to the nearest hundredth as needed.) Specify the rejection region. Choose the comect answer below OA²>384106 OB²>15.5073 OC. >9.48773 OD 16.9190 State the conclusion. Choose the correct answer below OA. Fail to reject H₂, there is insufficient evidence to indicate the row and column classification are dependent at 0.05. OB. Reject H₂, there is insufficient evidence to indicate the row and column classification are dependent at 0.05 OC. Reject H₂, there is sufficient evidence to indicate the row and column classification are dependent at 0.05. OD. Fail to reject H₂, there is sufficient evidence to indicate the row and column classification are dependent at -0.05. 1: Data Table A₂ A₂ 8, 41 63 31 B B₂ 73 53 37 8₂ 43 70 30
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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Transcribed Image Text:7. Test the null hypothesis of independence of the two classifications A and B of the accompanying contingency table. Use α = 0.05.
1 Click the icon to view the table.
Specify the null and alternative hypotheses. Choose the correct answer below.
O A. Ho: The row and column classifications are dependent
H₁: The row and column classifications are independent
O B. Ho: The row and column classifications are independent
H: The row and column classifications are dependent
O C. Ho: The classifications A₁ and B₁ are independent
H: The classifications A, and B, are dependent
Find the test statistic.
x² = |
(Round to the nearest hundredth as needed.)
Specify the rejection region. Choose the correct answer below.
OA. ²>3.84146
O B. x² > 15.5073
OC. 2>9.48773
O D. x² >16.9190
State the conclusion. Choose the correct answer below.
O A. Fail to reject Ho, there is insufficient evidence to indicate the row and column classification are dependent at a = 0.05.
O B. Reject Ho, there is insufficient evidence to indicate the row and column classification are dependent at a = 0.05.
O C. Reject Ho, there is sufficient evidence to indicate the row and column classification are dependent at a = 0.05.
O D. Fail to reject Ho, there is sufficient evidence to indicate the row and column classification are dependent at a = 0.05.
1: Data Table
A
A₁
A₂
A3
B₁
41
63
31
B
B₂
73
53
37
B3
43
70
30
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