Deck 2: Univariate and Bivariate Statistics Review

Question 1

In hypothesis testing, the probability of rejecting H₀ when H₀ is true is denoted by which one of the following?

A) α
B) 1 - α
C) β
D) 1 - β

Answer 1

A
Explanation: Rejecting H₀ when H₀ is true is a Type I error, also known as alpha

Question 2

In hypothesis testing, the probability of failing to reject H₀ when H₀ is true is denoted by which one of the following?

A) α
B) 1 - α
C) β
D) 1 - β

Answer 2

B
Explanation: Failing to reject H₀ when H₀ is true is a correct decision, computed as one minus alpha

Question 3

The probability of making a Type I error when rejecting H₀ when H₀ is true, at a significance level of .10, is which one of the following?

A) 0%
B) 5%
C) 10%
D) 100%

Answer 3

C
Explanation: The probability of making a Type I error, which is rejecting H₀ when H₀ is true, is alpha. In this case, alpha is .10 so the probability is 10%.

Question 4

Which one of the following is an assumption of the independent t test?

A) equal sample sizes
B) independence
C) linearity
D) muticollinearity

Question 5

The number of hours elite athletes spent training per week was measured immediately before competition and immediately after. To determine if the mean number of hours differs before versus after competition, which statistical test would be generated?

A) independent t test
B) dependent t test
C) simple regression
D) z test

Question 6

A researcher wants to determine if time in incarceration can be predicted by family home income. Which statistical test would be generated to answer this question?

A) independent t test
B) dependent t test
C) simple regression
D) two-factor ANOVA

Question 7

An increase of one point on the independent variable results in an increase of some value on the dependent variable. Which statistic is reflected in this statistic?

A) criterion
B) independent variable
C) intercept
D) slope

Question 8

A value of +.75 indicates which type of relationship?

A) negative
B) positive
C) neutral

Question 9

A researcher has collected data on two categorical independent variables and one continuous dependent variable. If they are interested in using all the variables in one model, which one of the following statistical procedures is their only option?

A) independent t test
B) dependent t test
C) simple regression
D) two-factor ANOVA