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book Understanding Basic Statistics 6th Edition by Charles Henry Brase,Corrinne Pellillo Brase cover

Understanding Basic Statistics 6th Edition by Charles Henry Brase,Corrinne Pellillo Brase

Edition 6ISBN: 978-1111827021
book Understanding Basic Statistics 6th Edition by Charles Henry Brase,Corrinne Pellillo Brase cover

Understanding Basic Statistics 6th Edition by Charles Henry Brase,Corrinne Pellillo Brase

Edition 6ISBN: 978-1111827021
Exercise 40
Expand Your Knowledge: Confidence Intervals and Two-Tailed Hypothesis Test Is there a relationship between confidence intervals and two-tailed hypothesis tests Let c be the level of confidence used to construct a confidence interval from sample data. Let be the level of significance for a two-tailed hypothesis test. The following statement applies to hypothesis tests of the mean.
For a two-tailed hypothesis test with level of significance and null hypothesis H 0 : = k , we reject H 0 whenever k falls outside the c = 1 - confidence interval for based on the sample data. When k falls within the c = 1 - confidence interval, we do not reject H 0.
(A corresponding relationship between confidence intervals and two-tailed hypothesis tests also is valid for other parameters, such as p , 1 2 , and p 1 p 2 , which we will study in Sections 9.3, 10.2, and 10.3.) Whenever the value of k given in the null hypothesis falls outside the c = 1 - confidence interval for the parameter, we reject H 0. For example, consider a two-tailed hypothesis test with = 0.01 and
H 0 : = 20 H 1 : 20
A random sample of size 36 has a sample mean
Expand Your Knowledge: Confidence Intervals and Two-Tailed Hypothesis Test Is there a relationship between confidence intervals and two-tailed hypothesis tests Let c be the level of confidence used to construct a confidence interval from sample data. Let be the level of significance for a two-tailed hypothesis test. The following statement applies to hypothesis tests of the mean. For a two-tailed hypothesis test with level of significance and null hypothesis H 0 : = k , we reject H 0 whenever k falls outside the c = 1 - confidence interval for based on the sample data. When k falls within the c = 1 - confidence interval, we do not reject H 0. (A corresponding relationship between confidence intervals and two-tailed hypothesis tests also is valid for other parameters, such as p , 1 2 , and p 1 p 2 , which we will study in Sections 9.3, 10.2, and 10.3.) Whenever the value of k given in the null hypothesis falls outside the c = 1 - confidence interval for the parameter, we reject H 0. For example, consider a two-tailed hypothesis test with = 0.01 and H 0 : = 20 H 1 : 20 A random sample of size 36 has a sample mean     = 22 from a population with standard deviation = 4. (a) What is the value of c = 1 Using the methods of Chapter 8, construct a 1 confidence interval for from the sample data. What is the value of given in the null hypothesis (i.e., what is k ) Is this value in the confidence interval Do we reject or fail to reject H 0 based on this information (b) Using methods of this chapter, find the P -value for the hypothesis test. Do we reject or fail to reject H 0 Compare your result to that part (a). = 22 from a population with standard deviation = 4.
(a) What is the value of c = 1 Using the methods of Chapter 8, construct a 1 confidence interval for from the sample data. What is the value of given in the null hypothesis (i.e., what is k ) Is this value in the confidence interval Do we reject or fail to reject H 0 based on this information
(b) Using methods of this chapter, find the P -value for the hypothesis test. Do we reject or fail to reject H 0 Compare your result to that part (a).
Explanation
Verified
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(a)
We are given that
blured image =22,
blured image =4, and...

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Understanding Basic Statistics 6th Edition by Charles Henry Brase,Corrinne Pellillo Brase
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