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...


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<br>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.<br>Но : В, — 0<br>Ha : B1 + 0<br>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?<br>A<br>If the alternative hypothesis is true, the probability of observing a test statistic at least as extreme as 3.34 is 0.001.<br>If the alternative hypothesis is true, the probability of observing a test statistic of 3.34 or greater is 0.001.<br>C<br>If the null hypothesis is true, the probability of observing a test statistic of 3.34 or greater is 0.001.<br>If the null hypothesis is true, the probability of observing a test statistic of 3.34 is 0.001.<br>E<br>If the null hypothesis is true, the probability of observing a test statistic at least as extreme as 3.34 is 0.001.<br>

Extracted 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.

Jun 11, 2022
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