Two different simple random samples are drawn from two different populations. The first sample consists of 20 people with10 having a common attribute. The second sample consists of 1900 people with 1352 of them having the same common attribute. Compare the results from a hypothesis test of p1=p 2 (with a 0.01 significance​ level) and a 99​% confidence interval estimate of p1−p2.   What are the null and alternative hypotheses for the hypothesis​ test?     A. Upper H 0H0​: p 1p1equals=p 2p2 Upper H 1H1​: p 1p1greater than>p 2p2   B. Upper H 0H0​: p 1p1not equals≠p 2p2 Upper H 1H1​: p 1p1equals=p 2p2   C. Upper H 0H0​: p 1p1less than or equals≤p 2p2 Upper H 1H1​: p 1p1not equals≠p 2p2   D. Upper H 0H0​: p 1p1greater than or equals≥p 2p2 Upper H 1H1​: p 1p1not equals≠p 2p2   E. Upper H 0H0​: p 1p1equals=p 2p2 Upper H 1H1​: p 1p1less than<p 2p2   F. Upper H 0H0​: p 1p1equals=p 2p2 Upper H 1H1​: p 1p1not equals≠p 2p2 Identify the test statistic. ​(Round to two decimal places as​ needed.)   Identify the critical​ value(s). ​(Round to three decimal places as needed. Use a comma to separate answers as​ needed.)   What is the conclusion based on the hypothesis​ test? The test statistic is _ the critical​ region, so _ the null hypothesis. There is _ evidence to conclude that p1≠p 2.   The 99​% confidence interval is  _ < ( p1- p2) <_ . ​(Round to three decimal places as​ needed.)   What is the conclusion based on the confidence​ interval? Since 0 is _ in the​ interval, it indicates to _ the null hypothesis.   How do the results from the hypothesis test and the confidence interval​ compare? The results are _ ,  since the hypothesis test suggests that p1 ≠ p2​, and the confidence interval suggests that p1=p2.

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Author:Amos Gilat
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Chapter1: Starting With Matlab
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Two different simple random samples are drawn from two different populations. The first sample consists of 20 people with10 having a common attribute. The second sample consists of 1900 people with 1352 of them having the same common attribute. Compare the results from a hypothesis test of p1=p 2 (with a 0.01 significance​ level) and a 99​% confidence interval estimate of p1−p2.

 

What are the null and alternative hypotheses for the hypothesis​ test?
 
 
A.
Upper H 0H0​:
p 1p1equals=p 2p2
Upper H 1H1​:
p 1p1greater than>p 2p2
 
B.
Upper H 0H0​:
p 1p1not equals≠p 2p2
Upper H 1H1​:
p 1p1equals=p 2p2
 
C.
Upper H 0H0​:
p 1p1less than or equals≤p 2p2
Upper H 1H1​:
p 1p1not equals≠p 2p2
 
D.
Upper H 0H0​:
p 1p1greater than or equals≥p 2p2
Upper H 1H1​:
p 1p1not equals≠p 2p2
 
E.
Upper H 0H0​:
p 1p1equals=p 2p2
Upper H 1H1​:
p 1p1less than<p 2p2
 
F.
Upper H 0H0​:
p 1p1equals=p 2p2
Upper H 1H1​:
p 1p1not equals≠p 2p2
Identify the test statistic. ​(Round to two decimal places as​ needed.)
 
Identify the critical​ value(s). ​(Round to three decimal places as needed. Use a comma to separate answers as​ needed.)
 
What is the conclusion based on the hypothesis​ test? The test statistic is _ the critical​ region, so _ the null hypothesis. There is _ evidence to conclude that p1≠p 2.
 
The 99​% confidence interval is  _ < ( p1- p2) <_ .
​(Round to three decimal places as​ needed.)
 
What is the conclusion based on the confidence​ interval? Since 0 is _ in the​ interval, it indicates to _ the null hypothesis.
 
How do the results from the hypothesis test and the confidence interval​ compare? The results are _ ,  since the hypothesis test suggests that p1 ≠ p2​, and the confidence interval suggests that p1=p2.
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