AP Statistics P Value

A preliminary study suggests that 87% of people agree on an issue. How large must your sample size be so you could be within ± 3% of p calculate at 90% confidence?

• 7

• 466

• 5

• 338

Identify the confidence interval used in the figure below if each shaded area is equal to 0.05.

• 90%

• 95%

• 98%

• 99%

In a survey of 104 students, it was found that 79 went to the homecoming game this year.

Calculate a 99% confidence interval for p.

• (0.652, 0.868)

• (0.691, 0.829)

• (0.678, 0.842(

• (0.685, 0.895)

What does this p-value of 0.0224 signify in real terms for your test?

• The p-value of 0.0224 is less than 5%, so the null hypothesis that the average percentage of of undergraduate students who receive federal student financial aid is 44.5% can be accepted.

• The p-value of 0.0224 is the probability of the null hypothesis being true

• The p-value of 0.0224 is the likelihood of the null hypothesis being false

• The p-value of 0.0224 is less than 0.05 the significance level, the claim that only 44.5% of undergraduate students receive federal aid can be rejected with a 95% confidence level.

The probability of observing a value for a test statistic at least as far from the hypothesized value as the statistic value actually observed if the null hypothesis is true is called...

• P-Hat

• One-Proportion z-test

• Z*

• P-Value

• A

• B

• C

• D

• E

If a test statistic, z or t, is beyond the bounds of -2 or +2, will the p-value be a small or large number?

• Small, because more than 2 standard deviations from the mean does not happen often

• Large, because more than 2 standard deviations from the mean does not happen often

• Small, because more than 2 standard deviations from the mean does happen often

• Large, because more than 2 standard deviations from the mean does happen often

A P-value indicates:

• the probability that the null hypothesis is true

• the probability that the alternative hypothesis is true

• the probability of obtaining the results (or one more extreme) if the null hypothesis is true

• probability of a Type I error

When a p-value is large, what is the decision that is made in regards to the hypothesis?

• Reject Ho

• Fail to reject Ho

• Accept Ho

• Fail to accept Ho

• A

• B

• C

• D

• E