AP Stats Chapter 20 - Hypothesis Testing

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

Tags

CCSS.7.RP.A.2D

In testing hypotheses, which of the following would be strong evidence against the null hypothesis?

• using a small level of significance
• using a large level of significance
• obtaining data with a small p-value
• obtaining data with a low test statistic

Tags

CCSS.HSS.IC.B.5

Which of the following shows a right-tailed test?

• Ha: p < .15

• H₀: p < .15

• Ha: p > .15

• H₀: p > .15

Which of the following shows a left-tailed test?

• Ha: p < .15

• H₀: p < .15

• Ha: p > .15

• H₀: p > .15

When p-value is greater than alpha we:

• Reject Ho

• Fail to reject Ha

• Fail to reject Ho

• Reject Ha

Tags

CCSS.HSS.IC.B.5

CCSS.HSS.ID.A.4

When p-value is less than alpha we:

• Reject Ho

• Fail to reject Ha

• Fail to reject Ho

• Reject Ha

What is the only option for the null hypothesis? 

• H₀ = k
• H₀ > k
• H₀ < k
• H₀ ≠ k

Which of the following is not an option for an alternative hypothesis?

• H_a = k

• H_a > k

• H_a < k

• H_a ≠ k

Suppose the P-value for a hypothesis test is 0.0304. Using α = 0.05, what is the appropriate conclusion?

• Reject the null hypothesis

• Reject the alternative hypothesis

• Fail to reject the null hypothesis

• Fail to reject the alternative hypothesis

Suppose the P-value for a hypothesis test is 0.0304. Using α = 0.01, what is the appropriate conclusion?

• Reject the null hypothesis

• Reject the alternative hypothesis

• Fail to reject the null hypothesis

• Fail to reject the alternative hypothesis