Chapter 21 and 22

Which of the following best describes a Type I error?

• The null is true, but we mistakenly reject it.
• The null is false and we reject it.
• The null is false, but we fail to reject it.
• The null is true but we fail to reject it.

Tags

CCSS.HSS.IC.B.3

Which of the following best describes a Type II error?

• The null is true but we mistakenly reject it.

• The null is false but we mistakenly reject it.

• The null is false but we fail to reject it.

• The null is true but w

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

What does it mean when a test is statistically significant?

• it has reached alpha level status
• the test statistic had a P-value higher than the alpha level
• the test statistic had a P-value lower than the alpha level
• it is important in practical terms

How do you reduce both types of errors from occurring?

• it can't be reduced
• redo the tests
• increase the sample size
• tamper with the data

Tags

CCSS.7.SP.B.3

What is the Power of a test?

• A strong force
• The probability that we correctly reject a false null.
• The probability that we correctly accept a true null.
• How tough it is.

The probability of a type I error is

• alpha

• beta

• sigma

• mu

The probability of a type II error is

• alpha

• beta

• sigma

• mu

A test of significance produces a P-value of 0.024. Which of the following conclusions is appropriate?

• Accept H_a at the α = 0.05 level

• Reject H_a at the α = 0.01 level

• Fail to reject H₀ at the α = 0.05 level

• Reject H₀ at the α = 0.05 level

What is it called when something is unlikely to happen by chance alone?

• statistically significant
• alpha
• confidence level
• probability