Deck 16: Quantitative Analysis: Inferential Statistics

Question 1

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

A) Population
B) Subsample

Answer 1

A

Question 2

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

Answer 2

True

Question 3

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

Answer 3

C

Question 4

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

Question 5

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

Question 6

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

Question 7

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

A) Variables
B) Occurrences

Question 8

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

Question 9

It is possible to predict random error

Question 10

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

A) Variable
B) line

Question 11

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

A) Stochastic
B) Continuous

Question 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.

Question 13

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

A) Variability
B) Strength

Question 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

Question 15

ANOVA is used to distinguish within group _____________

A) Viability
B) Variance