You are conducting a study to see if the proportion of women over 40 who regularly have mammograms is significantly less than 0.39. You use a significance level of α=0.10. H0:p=0.39 H1:p You obtain a sample of size n=131n=131 in which there are 36 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 less than 0.39. There is not sufficient evidence to warrant rejection of the claim that the proportion of women over 40 who regularly have mammograms is less than 0.39. The sample data support the claim that the proportion of women over 40 who regularly have mammograms is less than 0.39. There is not sufficient sample evidence to support the claim that the proportion of women over 40 who regularly have mammograms is less than 0.39.

You are conducting a study to see if the proportion of women over 40 who regularly have mammograms is significantly less than 0.39. You use a significance level of α=0.10. H0:p=0.39 H1:p

You are conducting a study to see if the proportion of women over 40 who regularly have mammograms is significantly less than 0.39. You use a significance level of α=0.10.

H0:p=0.39
H1:p<>

You obtain a sample of size n=131n=131 in which there are 36 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 less than 0.39.

There is not sufficient evidence to warrant rejection of the claim that the proportion of women over 40 who regularly have mammograms is less than 0.39.

The sample data support the claim that the proportion of women over 40 who regularly have mammograms is less than 0.39.

There is not sufficient sample evidence to support the claim that the proportion of women over 40 who regularly have mammograms is less than 0.39.

Jun 09, 2022

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You are conducting a study to see if the proportion of women over 40 who regularly have mammograms is significantly less than 0.39. You use a significance level of α=0.10. H0:p=0.39 H1:p

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