- Quantitative Analysis Inferential | Full Test Bank Ch.16

Chapter 16 - Quantitative analysis: inferential statistics

Test Bank

Type: fill-in-blank

Title: Chapter 16 - Question 01

01) Sampling error is the difference between the sample and the underlying __________ from which the sample was drawn

Feedback: Sampling error: Differences between the sample and the underlying population from which the sample was drawn.

Section reference: 16.2 Significance testing and effect sizes

a. Population

b. Subsample

Type: true-false

Title: Chapter 16 - Question 02

02) A null hypothesis states there is no effect of the independent variable on the dependent variable.

a. True

b. False

Type: multiple choice question

Title: Chapter 16 - Question 03

03) To what does the acronym “NHST” refer?

a. Nil-hypothesis significance testing

b. Negative-hypothesis significance testing

c. Null-hypothesis significance testing

d. Neuro-hypothesis significance testing

Type: true-false

Title: Chapter 16 - Question 04

04) In social science, we are typically investigating the effect of the dependent variable on the independent variable.

a. True

b. False

Type: true-false

Title: Chapter 16 - Question 05

05) 95% of the population value lies within -1.96 and +1.96 standard deviations

a. True

b. False

Type: multiple choice question

Title: Chapter 16 Question 06

06) What is the purpose of the critical value p?

a. To determine if the findings suggest that the null hypothesis is untenable

b. To determine if the findings suggest that the null hypothesis is tenable

c. To determine if the findings suggest that the null hypothesis is accepted

d. To determine if the findings suggest that the null hypothesis is unstable

Type: fill-in-blank

Title: Chapter 16 - Question 07

07) Regression is an inference-based statistical technique based on correlations between _____________

Feedback: Regression is an inference-based statistical technique based on correlations between variables.

Section reference: 16.3 Common inferential statistics for prediction

a. Variables

b. Occurrences

Type: multiple choice question

Title: Chapter 16 Question 08

08) Instead of only determining how much two variables covary, which is what bivariate correlation shows, regression determines how one or more ____________ independent variables predict or explain variance in a single ____________dependent variable.

a. Causal

b. Fractal

c. Continuous

d. Correlational

Type: true-false

Title: Chapter 16 - Question 09

09) It is possible to predict random error

a. True

b. False

Type: fill-in-blank

Title: Chapter 16 - Question 10

10) The concept of best-fitting __________ is crucial in regression analysis.

Feedback: The concept of the best-fitting line is crucial in regression.

Section reference: 16.3 Common inferential statistics for prediction

a. Variable

b. line

Type: fill-in-blank

Title: Chapter 16 - Question 11

11) In multiple regression, a dependent variable is regressed on multiple ______________ independent variables.

Feedback: The concept of the best-fitting line is crucial in regression.

Section reference: 16.3 Common inferential statistics for prediction

a. Stochastic

b. Continuous

Type: true-false

Title: Chapter 16 - Question 12

12) The less correlated the independent variables are with one another, the less each is able to uniquely contribute to the explained variance in the dependent variable.

a. True

b. False

Type: fill-in-blank

Title: Chapter 16 - Question 13

13) In moderation, a moderator affects the __________ of the relationship between the independent variable and the dependent variable.

Feedback: In moderation, a moderator affects the strength of the relationship between the independent variable and the dependent variable.

Section reference: 16.3 Common inferential statistics for prediction

a. Variability

b. Strength

Type: multiple choice question

Title: Chapter 16 Question 14

14) At its essence, ANOVA assesses how:

a. for each treatment condition or manipulation applied to the different groups are similar

b. for each treatment condition or manipulation applied to the different groups are greater than zero

c. for each treatment condition or manipulation applied to the different groups differ

d. for each treatment condition or manipulation applied to the different groups reject the null hypothesis

Type: fill-in-blank

Title: Chapter 16 - Question 15

15) ANOVA is used to distinguish within group _____________

Feedback: The second source of variance ANOVA distinguishes is within group variance.

Section reference: 16.3 Common inferential statistics for prediction

a. Viability

b. Variance