You are conducting a study to see if the proportion of men over 50 who regularly have their prostate examined is significantly different from 0.6. You use a significance level of

=

0.002

=0.002

.

H

0

:

p

=

0.6

H0:p=0.6

H

1

:

p

0.6

H1:p0.6

You obtain a sample of sizen

=

709

n=709

in which there are 446 successes.

What is the test statistic for this sample?

test statistic =(Report answer accurate to 3 decimal places.)

What is the p-value for this sample?

p-value =(Report answer accurate to 4 decimal places.)

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 men over 50 who regularly have their prostate examined is different from 0.6.
• There is not sufficient evidence to warrant rejection of the claim that the proportion of men over 50 who regularly have their prostate examined is different from 0.6.
• The sample data support the claim that the proportion of men over 50 who regularly have their prostate examined is different from 0.6.
• There is not sufficient sample evidence to support the claim that the proportion of men over 50 who regularly have their prostate examined is different from 0.6.