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A hypothesis test was conducted to see whether there is an association between a person's income level and his or her education level. A random sample of 225 people was selected, and the appropriate hypothesis test was conducted. The chi-square test statistic and corresponding p-value were approximately 13.36 and 0.01, respectively. Which of the following is the correct interpretation of the p-value in the context of the test? A Assuming that a person's income level and education level are independent, there is a 1 percent chance of finding a test statistic of 13.36 or greater. B Assuming that a person's income level and education level are dependent, there is a 1 percent chance of finding a test statistic of 13.36 or greater. Assuming that a person's income level and education level are independent, there is a 1 percent chance of finding a test statistic of 13.36 or smaller. D Assuming that a person's income level and education level are dependent, there is a 1 percent chance of finding a test statistic of 13.36 or smaller. Assuming that a person's income level and education level are independent, there is a 1 percent chance of finding a test statistic of exactly 13.36.

A hypothesis test was conducted to see whether there is an association between a person's income level and his or her education level. A random sample of 225 people was selected, and the appropriate hypothesis test was conducted. The chi-square test statistic and corresponding p-value were approximately 13.36 and 0.01, respectively. Which of the following is the correct interpretation of the p-value in the context of the test? A Assuming that a person's income level and education level are independent, there is a 1 percent chance of finding a test statistic of 13.36 or greater. B Assuming that a person's income level and education level are dependent, there is a 1 percent chance of finding a test statistic of 13.36 or greater. Assuming that a person's income level and education level are independent, there is a 1 percent chance of finding a test statistic of 13.36 or smaller. D Assuming that a person's income level and education level are dependent, there is a 1 percent chance of finding a test statistic of 13.36 or smaller. Assuming that a person's income level and education level are independent, there is a 1 percent chance of finding a test statistic of exactly 13.36.

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section: Chapter Questions
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Question 13 A hypothesis test was conducted to see whether there is an association between a person's income level and his or her education level. A random sample of 225 people was selected, and the appropriate hypothesis test was conducted. The chi-square test statistic and corresponding p-value were approximately 13.36 and 0.01, respectively. Which of the following is the correct interpretation of the p-value in the context of the test? A Assuming that a person's income level and education level are independent, there is a 1 percent chance of finding a test statistic of 13.36 or greater. В Assuming that a person's income level and education level are dependent, there is a 1 percent chance of finding a test statistic of 13.36 or greater. Assuming that a person's income level and education level are independent, there is a 1 percent chance of finding a test statistic of 13.36 or smaller. Assuming that a person's income level and education level are dependent, there is a 1 percent chance of finding a test statistic of 13.36 or smaller. E Assuming that a person's income level and education level are independent, there is a 1 percent chance of finding a test statistic of exactly 13.36.
Transcribed Image Text:Question 13 A hypothesis test was conducted to see whether there is an association between a person's income level and his or her education level. A random sample of 225 people was selected, and the appropriate hypothesis test was conducted. The chi-square test statistic and corresponding p-value were approximately 13.36 and 0.01, respectively. Which of the following is the correct interpretation of the p-value in the context of the test? A Assuming that a person's income level and education level are independent, there is a 1 percent chance of finding a test statistic of 13.36 or greater. В Assuming that a person's income level and education level are dependent, there is a 1 percent chance of finding a test statistic of 13.36 or greater. Assuming that a person's income level and education level are independent, there is a 1 percent chance of finding a test statistic of 13.36 or smaller. Assuming that a person's income level and education level are dependent, there is a 1 percent chance of finding a test statistic of 13.36 or smaller. E Assuming that a person's income level and education level are independent, there is a 1 percent chance of finding a test statistic of exactly 13.36.
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