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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.

c,
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.

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.

User MDStephens
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1 Answer

6 votes
Hmph I think it may be c if my answer is wrong then im sorry
User Cristian Bregant
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