U7 Significance Testing Voc/REview

When performing a test about the population proportion, what distribution would you need to use? 

• z
• t
• chi-square

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

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

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

• a) Reject the null hypothesis

• b) Reject the alternative hypothesis

• c) Fail to reject the null hypothesis

• d) Fail to reject the alternative hypothesis

When p-value is greater than alpha we:

• Reject Ho

• Fail to reject Ha

• Fail to reject Ho

• Reject Ha

If a sample mean is in the critical region with alpha level 0.01, it would still(always) be in the critical region if alpha were changed to 0.05?

• False
• True

In a research report, the term "significant" is used when the null hypothesis is rejected.

• True
• False

Reorder the following steps for Hypothesis testing.

• State your research hypothesis as a null hypothesis (H_o) and alternate hypothesis (Ha).

• Decide whether to reject or fail to reject your null hypothesis.

• Perform an appropriate statistical test.

• Make a conclusion:

• Collect data in a way designed to test the hypothesis.

The null and alternative hypothesis can be the same.

• Yes

• No

• Maybe

• All the above

H₀: μ = k

H₁: μ ≠ k

• Left-tailed test

• Two-tailed test

• Right-tailed test