You are conducting a study to see if the proportion of women over 40 who regularly have mammograms is significantly more than 0.56. You use a significance level of=0.02

=0.02

H0:p=0.56

H0:p=0.56

H1:p>0.56

H1:p>0.56

You obtain a sample of sizen=199 in which there are 120 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)
• greater than

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 0.56.
• 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 0.56.
• The sample data support the claim that the proportion of women over 40 who regularly have mammograms is more than 0.56.
• There is not sufficient sample evidence to support the claim that the proportion of women over 40 who regularly have mammograms is more than 0.56.