he test yielded a t-value of 3.34 with a corresponding p-value of 0.001. Which of the following is the correct interpretation of the p-value? If the alternative hypothesis is true, the probability of observing a test statistic at least as extreme as 3.34 is 0.001. B) If the alternative hypothesis is true, the probability of observing a test statistic of 3.34 or greater is 0.001. c) If the null hypothesis is true, the probability of observing a test statistic of 3.34 or greater is 0.001. D) If the null hypothesis is true, the probability of observing a test statistic of 3.34 is 0.001. E) If the null hypothesis is true, the probability of observing a test statistic at least as extreme as 3.34 is 0.001.
he test yielded a t-value of 3.34 with a corresponding p-value of 0.001. Which of the following is the correct interpretation of the p-value? If the alternative hypothesis is true, the probability of observing a test statistic at least as extreme as 3.34 is 0.001. B) If the alternative hypothesis is true, the probability of observing a test statistic of 3.34 or greater is 0.001. c) If the null hypothesis is true, the probability of observing a test statistic of 3.34 or greater is 0.001. D) If the null hypothesis is true, the probability of observing a test statistic of 3.34 is 0.001. E) If the null hypothesis is true, the probability of observing a test statistic at least as extreme as 3.34 is 0.001.
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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![A major credit card company is interested in whether there is a linear relationship between its internal rating of a customer's credit risk and that of an independent rating agency. The company collected a random sample of
200 customers and used the data to test the claim that there is a linear relationship. The following hypotheses were used to test the claim.
Но : В, — 0
Ha : B1 + 0
The test yielded a t-value of 3.34 with a corresponding p-value of 0.001. Which of the following is the correct interpretation of the p-value?
A
If the alternative hypothesis is true, the probability of observing a test statistic at least as extreme as 3.34 is 0.001.
If the alternative hypothesis is true, the probability of observing a test statistic of 3.34 or greater is 0.001.
C
If the null hypothesis is true, the probability of observing a test statistic of 3.34 or greater is 0.001.
If the null hypothesis is true, the probability of observing a test statistic of 3.34 is 0.001.
E
If the null hypothesis is true, the probability of observing a test statistic at least as extreme as 3.34 is 0.001.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa6c8ceb8-f36d-4f27-864a-0cb861b27bcb%2Fe9709cdf-f694-444e-8e72-0aefec07e9c7%2Fonfzk6n_processed.png&w=3840&q=75)
Transcribed Image Text:A major credit card company is interested in whether there is a linear relationship between its internal rating of a customer's credit risk and that of an independent rating agency. The company collected a random sample of
200 customers and used the data to test the claim that there is a linear relationship. The following hypotheses were used to test the claim.
Но : В, — 0
Ha : B1 + 0
The test yielded a t-value of 3.34 with a corresponding p-value of 0.001. Which of the following is the correct interpretation of the p-value?
A
If the alternative hypothesis is true, the probability of observing a test statistic at least as extreme as 3.34 is 0.001.
If the alternative hypothesis is true, the probability of observing a test statistic of 3.34 or greater is 0.001.
C
If the null hypothesis is true, the probability of observing a test statistic of 3.34 or greater is 0.001.
If the null hypothesis is true, the probability of observing a test statistic of 3.34 is 0.001.
E
If the null hypothesis is true, the probability of observing a test statistic at least as extreme as 3.34 is 0.001.
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