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.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section: Chapter Questions
Problem 8SGR
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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 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.
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