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ERM Student-led Activity 9

Total questions: 12

Worksheet time: 7mins

Name
Class
Date
1.

If we talk about the existence of dependence between two variables we are referring to...

a)

correlation

b)

causation

c)

degree of freedom

2.

Which of these tests is not parametric?

a)

Pearson

b)

ANOVA

c)

Spearman

3.

It is used for measurable on a continuous scale variables

a)

Chi square test

b)

Pearson's correlation

c)

T-test

4.

What is the T-value?

a)

The result of comparing 2 means relative to their variability

b)

The number we use to determine statistical significance

c)

The number of observations in the data that are free to vary

5.

If our p-value is greater than our alpha value...

a)

We reject the H0

b)

We fail to reject the H0

c)

Our result is statistically significant

6.

If in an experiment we have 3 IV, with 2 factor levels each one, how many conditions do we have?

a)

3 x 2

b)

2 x 3

c)

8

7.

When do we use One-way ANOVA?

a)

When we have only 1 factor/IV with >2 levels and only 1 DV

b)

When we have >1 factor (with only 1 level) and only 1 DV

c)

When we have >1 factor (with multiple levels each) and only 1 DV

8.

What is represented in this image?

a)

A normal distribution

b)

A T-distribution

c)

A F-distribution

9.

“Factorial ANOVA” is just another way to refer to the “2-way ANOVA"

a)

True

b)

False

10.

One-way ANOVA can calculate interaction effects

a)

True

b)

False

11.

If we get this result: F (2, 142) = 0.064, p = .919, η p ² = .001 ...

a)

There is no significant interaction effect between the variables

b)

There is a significant interaction effect between the variables

c)

There is a main effect between the variables

12.

This graphic shows there is an interaction effect between these 2 factors

a)

True

b)

False