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. H0:β1=0Ha:β1≠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? 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 at least as extreme as 3.34 is 0.001. A If the alternative hypothesis is true, the probability of observing a test statistic of 3.34 or greater is 0.001. If the alternative hypothesis is true, the probability of observing a test statistic of 3.34 or greater is 0.001. B If the null hypothesis is true, the probability of observing a test statistic of 3.34 or greater is 0.001.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section: Chapter Questions
Problem 8SGR
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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.

H0:β1=0Ha:β1≠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?

  • 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 at least as extreme as 3.34 is 0.001.
    A
  • If the alternative hypothesis is true, the probability of observing a test statistic of 3.34 or greater is 0.001.

    If the alternative hypothesis is true, the probability of observing a test statistic of 3.34 or greater is 0.001.
    B
  • If the null hypothesis is true, the probability of observing a test statistic of 3.34 or greater is 0.001.

 

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