claim is made that 25% of American college students go to a beach for spring break. You believe this claim is incorrect. You would like to test the null hypothesis that p = 0.25 versus the alternative hypothesis that p ≠ 0.25. You gather data from a random sample of 100 college students and obtain a test statistic of 3.3. If we assume the significance (or alpha) level is 0.01, what should your decision be? 1. Reject the null hypothesis 2. Fail to reject the null hypothesis 3. Reject the alternative hypothesis 4. Fail to reject the alternative hypothesis 5. We cannot reach a conclusion without knowing the sample proportion.
claim is made that 25% of American college students go to a beach for spring break. You believe this claim is incorrect. You would like to test the null hypothesis that p = 0.25 versus the alternative hypothesis that p ≠ 0.25. You gather data from a random sample of 100 college students and obtain a test statistic of 3.3. If we assume the significance (or alpha) level is 0.01, what should your decision be? 1. Reject the null hypothesis 2. Fail to reject the null hypothesis 3. Reject the alternative hypothesis 4. Fail to reject the alternative hypothesis 5. We cannot reach a conclusion without knowing the sample proportion.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 24PFA
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A claim is made that 25% of American college students go to a beach for spring break. You believe this claim is incorrect. You would like to test the null hypothesis that p = 0.25 versus the alternative hypothesis that p ≠ 0.25. You gather data from a random sample of 100 college students and obtain a test statistic of 3.3. If we assume the significance (or alpha) level is 0.01, what should your decision be?
1. Reject the null hypothesis
2. Fail to reject the null hypothesis
3. Reject the alternative hypothesis
4. Fail to reject the alternative hypothesis
5. We cannot reach a conclusion without knowing the sample proportion.
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