O 13 3. The STS (round to 3 decimals) is: The P-value (round to 4 decimals) is: 4. The decision at a = 0.05 is: O Reject Ho since P > a O Reject Ho since P< a O Do not reject Ho since P > a O Do not reject Ho since P< a The conclusion is: O There is sufficient evidence to conclude that there is not a statistically significant linear correlation O There is sufficient evidence to conclude that there is a statistically significant linear correlation O There is insufficient evidence to conclude that there is a statistically significant linear correlation O There is insufficient evidence to conclude that there is not a statistically significant linear correlation Submit Question Test the claim that the linear correlation coefficient of a population is statistically significant. A random sample of 15 (x,y) pairs yields r = 0.51. Use a = 0.05. 1. Select the correct statement: O If the correlation is found to be statistically significant, that means that changes in x cause changes in y O Even if the correlation is found to be statistically significant, that does not necessarily mean that changes in x cause changes in y The hypotheses are: Ο Ho:ρ-0; Ha: ρ 0 O Ho:r = 0; Ha:r0 O Ho:r < 0; Ha:r > 0 O Ho:r > 0; Ha:r < 0 O Ho:p > 0; Ha:p < 0 O Ho:p < 0; Ha:p > 0 2. This is a O rightO twoO left tailed test and the distribution used is OT The Degrees of Freedom are ON/A; this is a Z-test
O 13 3. The STS (round to 3 decimals) is: The P-value (round to 4 decimals) is: 4. The decision at a = 0.05 is: O Reject Ho since P > a O Reject Ho since P< a O Do not reject Ho since P > a O Do not reject Ho since P< a The conclusion is: O There is sufficient evidence to conclude that there is not a statistically significant linear correlation O There is sufficient evidence to conclude that there is a statistically significant linear correlation O There is insufficient evidence to conclude that there is a statistically significant linear correlation O There is insufficient evidence to conclude that there is not a statistically significant linear correlation Submit Question Test the claim that the linear correlation coefficient of a population is statistically significant. A random sample of 15 (x,y) pairs yields r = 0.51. Use a = 0.05. 1. Select the correct statement: O If the correlation is found to be statistically significant, that means that changes in x cause changes in y O Even if the correlation is found to be statistically significant, that does not necessarily mean that changes in x cause changes in y The hypotheses are: Ο Ho:ρ-0; Ha: ρ 0 O Ho:r = 0; Ha:r0 O Ho:r < 0; Ha:r > 0 O Ho:r > 0; Ha:r < 0 O Ho:p > 0; Ha:p < 0 O Ho:p < 0; Ha:p > 0 2. This is a O rightO twoO left tailed test and the distribution used is OT The Degrees of Freedom are ON/A; this is a Z-test
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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Question
Transcribed Image Text:O 13
3. The STS (round to 3 decimals) is:
The P-value (round to 4 decimals) is:
4. The decision at a = 0.05 is:
O Reject Ho since P > a
O Reject Ho since P< a
O Do not reject Ho since P > a
O Do not reject Ho since P< a
The conclusion is:
O There is sufficient evidence to conclude that there is not a statistically significant linear correlation
O There is sufficient evidence to conclude that there is a statistically significant linear correlation
O There is insufficient evidence to conclude that there is a statistically significant linear correlation
O There is insufficient evidence to conclude that there is not a statistically significant linear
correlation
Submit Question
Transcribed Image Text:Test the claim that the linear correlation coefficient of a population is statistically significant. A random
sample of 15 (x,y) pairs yields r = 0.51. Use a = 0.05.
1. Select the correct statement:
O If the correlation is found to be statistically significant, that means that changes in x cause changes
in y
O Even if the correlation is found to be statistically significant, that does not necessarily mean that
changes in x cause changes in y
The hypotheses are:
Ο Ho:ρ-0; Ha: ρ 0
O Ho:r = 0; Ha:r0
O Ho:r < 0; Ha:r > 0
O Ho:r > 0; Ha:r < 0
O Ho:p > 0; Ha:p < 0
O Ho:p < 0; Ha:p > 0
2. This is a O rightO twoO left tailed test and the distribution used is
OT
The Degrees of Freedom are
ON/A; this is a Z-test
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