The table shows the earnings (in thousands of dollars) of a random sample of 11 people with bachelor's degrees and 10 people with associate's degrees. At alpha= 0.05, is there enough evidence to support the belief that there is a difference in the earnings of people with bachelor's degrees and those with associate's degrees? Decide whether to reject or fail to reject the null hypothesis and interpret the decision in the context of the original claim. Degree Salary (in thousands of dollars) Bachelor's 57 75 51 73 43 73 52 69 49 68 47 Associate's 41 29 36 49 24 38 50 25 24 50 OA. The test statistic is not between the critical values, so fail to reject the null hypothesis. At the 5% level of significance, there is enough evidence to support the claim. OB. The test statistic is not between the critical values, so reject the null hypothesis. At the 5% level of significance, there is enough evidence to support the claim. OC. The test statistic is between the critical values, so reject the null hypothesis. At the 5% level of significance, there is enough evidence to support the claim. OD. The test statistic s between the critical values, so fail to reject the null hypothesis. At the 5% level of significance, there is not enough evidence to support the claim.

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

Problem 8CR

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Question

The table shows the earnings (in thousands of dollars) of a random sample of 11 people with bachelor's degrees and 10 people with associate's degrees. At alpha = 0.05, is there enough evidence to support the belief that there is a difference in the earnings of people with bachelor's degrees and those with associate's degrees? Decide whether to reject or fail to reject the null hypothesis and interpret the decision in the context of the original claim.

	A.	The test statistic is not between the critical values, so fail to reject the null hypothesis. At the 5% level of significance, there is enough evidence to support the claim.
	B.	The test statistic is not between the critical values, so reject the null hypothesis. At the 5% level of significance, there is enough evidence to support the claim.
	C.	The test statistic is between the critical values, so reject the null hypothesis. At the 5% level of significance, there is enough evidence to support the claim.
	D.	The test statistic is between the critical values, so fail to reject the null hypothesis. At the 5% level of significance, there is not enough evidence to support the claim.