You are conducting a study to see if the proportion of women over 40 who regularly have mammograms is significantly more than 0.59. You use a significance level of α=0.001. H0:p=0.59 H1:p>0.59 You obtain a sample of size n=353 in which there are 235 successes. What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = What is the p-value for this sample? (Report answer accurate to four decimal places.) p-value = The p-value is... less than (or equal to) αα greater than αα This test statistic leads to a decision to... reject the null accept the null fail to reject the null As such, the final conclusion is that... There is sufficient evidence to warrant rejection of the claim that the proportion of women over 40 who regularly have mammograms is more than 0.59. There is not sufficient evidence to warrant rejection of the claim that the proportion of women over 40 who regularly have mammograms is more than 0.59. The sample data support the claim that the proportion of women over 40 who regularly have mammograms is more than 0.59. There is not sufficient sample evidence to support the claim that the proportion of women over 40 who regularly have mammograms is more than 0.59.
You are conducting a study to see if the proportion of women over 40 who regularly have mammograms is significantly more than 0.59. You use a significance level of α=0.001. H0:p=0.59 H1:p>0.59 You obtain a sample of size n=353 in which there are 235 successes. What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = What is the p-value for this sample? (Report answer accurate to four decimal places.) p-value = The p-value is... less than (or equal to) αα greater than αα This test statistic leads to a decision to... reject the null accept the null fail to reject the null As such, the final conclusion is that... There is sufficient evidence to warrant rejection of the claim that the proportion of women over 40 who regularly have mammograms is more than 0.59. There is not sufficient evidence to warrant rejection of the claim that the proportion of women over 40 who regularly have mammograms is more than 0.59. The sample data support the claim that the proportion of women over 40 who regularly have mammograms is more than 0.59. There is not sufficient sample evidence to support the claim that the proportion of women over 40 who regularly have mammograms is more than 0.59.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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You are conducting a study to see if the proportion of women over 40 who regularly have mammograms is significantly more than 0.59. You use a significance level of α=0.001.
H0:p=0.59
H1:p>0.59
You obtain a
What is the test statistic for this sample? (Report answer accurate to three decimal places.)
test statistic =
What is the p-value for this sample? (Report answer accurate to four decimal places.)
p-value =
The p-value is...
- less than (or equal to) αα
- greater than αα
This test statistic leads to a decision to...
- reject the null
- accept the null
- fail to reject the null
As such, the final conclusion is that...
- There is sufficient evidence to warrant rejection of the claim that the proportion of women over 40 who regularly have mammograms is more than 0.59.
- There is not sufficient evidence to warrant rejection of the claim that the proportion of women over 40 who regularly have mammograms is more than 0.59.
- The sample data support the claim that the proportion of women over 40 who regularly have mammograms is more than 0.59.
- There is not sufficient sample evidence to support the claim that the proportion of women over 40 who regularly have mammograms is more than 0.59.
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