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Inferential Statistics Quiz

Total questions: 15

Worksheet time: 8mins

Name
Class
Date
1.

What do inferential statistics allow us to do?

a)

Measure descriptive statistics

b)

Calculate exact results

c)

Infer things about the state of the world

d)

Confirm experimental predictions

2.

What is the significance level used in hypothesis testing according to Fisher's criterion?

a)

0.15

b)

0.01

c)

0.05

d)

0.10

3.

What is a Type I error?

a)

Calculating the wrong test statistic

b)

Failing to detect a true effect

c)

Accepting a false null hypothesis

d)

Rejecting a true null hypothesis

4.

What does effect size measure?

a)

The variance in the data

b)

The sample size needed for a study

c)

The magnitude of an observed effect

d)

The probability of a Type I error

5.

Which test is used to assess normality of distribution?

a)

Friedman's ANOVA

b)

Levene's test

c)

Mann-Whitney test

d)

Kolmogorov-Smirnov test

6.

What is the primary purpose of a t-test?

a)

To compare means between two groups

b)

To analyze variance among multiple groups

c)

To measure correlation between variables

d)

To assess the normality of data

7.

What does a two-way ANOVA analyze?

a)

Three independent variables

b)

Two independent variables

c)

One independent variable

d)

No independent variables

8.

What is the non-parametric equivalent of the independent t-test?

a)

Kruskal-Wallis test

b)

Mann-Whitney test

c)

Friedman's ANOVA

d)

Wilcoxon signed-rank test

9.

What is the consequence of a Type II error?

a)

Incorrectly rejecting a true null hypothesis

b)

Failing to reject a false null hypothesis

c)

Calculating an incorrect effect size

d)

Accepting a false experimental hypothesis

10.

What does statistical power refer to?

a)

The likelihood of detecting an effect

b)

The significance level set for the test

c)

The size of the sample used

d)

The variance explained by the model

11.

Which test is appropriate for comparing three or more groups with different participants?

a)

One-way independent ANOVA

b)

Two-way independent ANOVA

c)

One-way repeated measures ANOVA

d)

Paired samples t-test

12.

What is the main assumption of parametric tests?

a)

Data must be ordinal

b)

Data must be normally distributed

c)

Data must be non-normally distributed

d)

Data must have equal variances

13.

What is the purpose of Levene's test?

a)

To test for normality

b)

To determine sample size

c)

To test for homogeneity of variance

d)

To calculate effect size

14.

What does the Kruskal-Wallis test compare?

a)

Variances of two groups

b)

Variances of three or more groups

c)

Means of three or more groups

d)

Means of two groups

15.

In a one-way repeated measures ANOVA, what is the design?

a)

Same participants in all conditions

b)

Different participants in each condition

c)

Different conditions with no participants

d)

Same conditions with different participants