Question

Question 1

We counted the number of people who entered our store across the span of a week in the morning, afternoon, and evening. What is the simplest test to see if there is any difference in the frequency of people coming to our store at different times across days?

Group of answer choices

chi-square test of independence

two-way factorial ANOVA

independent t-test

one-way ANOVA with blocking

Question 2

We have three price points and three product colors and we have randomly assigned combinations of price points and colors to focus groups who have rated them on how likely they would be to purchase them. What is the simplest test we could use to see if there is any impact of price point, color, or the interaction?

Group of answer choices

chi-square test of independence

two-way factorial ANOVA

independent t-test

one-way ANOVA with blocking

Question 3

You have been conducting an experiment with 3 conditions and have done testing over the period of a week. What is the simplest test to use to see if there is an impact of the condition?

two-way factorial ANOVA

independent t-test

one-way ANOVA with blocking)

paired t-test

Question 4

We try to determine if we can use major, economic status, and age to predict an individual's marital status (single, married), which test should we use?

Group of answer choices

ANCOVA

Multiple regression

RANOVA

logistic regression

Question 5

We try to determine if we can use major, economic status, and age to see if an individual's purchase ability differs in terms of their economic status, which test should we use?

Group of answer choices

ANCOVA

logistic regression

Multiple regression

RANOVA

Question 6

We try to determine if we can use economic status and age to predict an individual's salary, which test should we use?

Group of answer choices

ANCOVA

RANOVA

logistic regression

Multiple regression

Question 7

3 pts

We try to determine if we can use economic status and age to see if an individual's salary changes in a different period, which test should we use?

Group of answer choices

logistic regression

ANCOVA

Multiple regression

RANOVA

Question 8

3 pts

In terms of different quasi-experimental designs, which one is the least reliable?

One-Group Posttest-Only Design

One-Group Pretest-Posttest Design

Nonequivalent Control Group Design

Time-Series Design

Question 9

What is the main purpose of EFA?

Group of answer choices

Find out the relationship between variables.
Catch the idea of the latent variables
Testing the internal validity of a cluster of variables.
Generate large factor loadings

Question 10

3 pts

When performing CFA, which of the following statement is not correct?

Group of answer choices

We need a theory/previous study to support our model

Use goodness-of-fit to test the model

We try to establish a good model

Use rotations to improve factor loadings

Question 11

10 pts

Please explain the assumption of sphericity? What's the consequence if we violate the assumption?

please help

Answer 1

Question 1: There are three categories: morning, afternoon, and evening. Since we want test to see if there is any difference in the frequency of people coming to our store at different times across days so appropriate test is:

chi-square test of independence

Question 2:

We have three price points and three product colors and we have randomly assigned combinations of price points and colors to focus groups who have rated them on how likely they would be to purchase them. The simplest test to see if there is any impact of price point, color, or the interaction is:

two-way factorial ANOVA

Question 3

You have been conducting an experiment with 3 conditions and have done testing over the period of a week. The simplest test to see if there is an impact of the condition is

one-way ANOVA with blocking

(Note: block: days of week)

Question 4:

We try to determine if we can use major, economic status, and age to predict an individual's marital status (single, married), the test is:

logistic regression

(since Respose is binary variable (i.e. married or unmarried))

Question 5

We try to determine if we can use major, economic status, and age to see if an individual's purchase ability differs in terms of their economic status, the test is

ANCOVA

(Note: We consider major, economic status, and age are covariates or concomitant variables)

Question 6:

We try to determine if we can use economic status and age to predict an individual's salary, the test is

Multiple regression

Question 7

We try to determine if we can use economic status and age to see if an individual's salary changes in a different period, the test is:

RANOVA