A claim is made that 60.4% of college students earn their undergraduate degree in four years. A college administrator believes this claim is incorrect. He would like to test the null hypothesis that = 0.604 versus the alternative hypothesis that ≠ 0.604. Upon gathering data from a large random sample of college graduates, he obtains a test statistic of 1.8. From this information, what should we conclude? The null hypothesis would be rejected if the significance level were set at 0.01, 0.05, or 0.10.The null hypothesis would be rejected if the significance level were set at 0.10 or 0.05, but would not be rejected if the significance level were set at 0.01.The null hypothesis would be rejected if the significance level were set at 0.10, but would not be rejected if the significance level were set at 0.05 or 0.01.The null hypothesis would not be rejected at significance levels of 0.01, 0.05, or 0.10.The sample proportion must have been smaller than the claimed population proportion.

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6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A claim is made that 60.4% of college students earn their undergraduate degree in four years. A college administrator believes this claim is incorrect. He would like to test the null hypothesis that = 0.604 versus the alternative hypothesis that ≠ 0.604. Upon gathering data from a large random sample of college graduates, he obtains a test statistic of 1.8. From this information, what should we conclude?

The null hypothesis would be rejected if the significance level were set at 0.01, 0.05, or 0.10.
The null hypothesis would be rejected if the significance level were set at 0.10 or 0.05, but would not be rejected if the significance level were set at 0.01.
The null hypothesis would be rejected if the significance level were set at 0.10, but would not be rejected if the significance level were set at 0.05 or 0.01.
The null hypothesis would not be rejected at significance levels of 0.01, 0.05, or 0.10.
The sample proportion must have been smaller than the claimed population proportion.

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