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One-way ANOVA Quiz

Total questions: 10

Worksheet time: 6mins

Name
Class
Date
1.

Which one is not an assumption of the ANOVA test?

a)

Homogeneity of variance

b)

Normality

c)

Independence of observations

d)

Equal population size for group

2.

Which one is not a test for normality?

a)

Skewness

b)

Kolmogorov-Smirnov

c)

Shapiro-Wilk

d)

T-test

3.

Which one of the following is an estimation of the experimental error?

a)

Between-group mean square error

b)

Within-group mean square error

c)

Total mean square error

d)

Between-group sum of squares

4.

Which type of error can you reduce or avoid while designing the experiment?

a)

Individual differences error

b)

Measurement error

c)

Mean square error

d)

Experimental error

5.

Which one is not a data transformation appropriate for recovering normality?

a)

Square root

b)

Logarithmic

c)

Reciprocal

d)

Inverse

6.

The significance value alpha represents:

a)

Type I error

b)

Type II error

c)

Power

d)

Probability that the null hypothesis is true

7.

What is the relationship between total, within-group and between-group deviation?

a)

Total deviation = within-group deviation - between-group deviation

b)

Between-group deviation = total deviation - within-group deviation

c)

Within-group deviation = total deviation + between-group deviation

d)

Between-group deviation = total deviation + within-group deviation

8.

Consider a test with one independent variable and four levels. Each level has a sample of size 5. How much is the between-group degrees of freedom?

a)

3

b)

4

c)

16

d)

19

9.

What set of parameters do you need to determine the critical F-value?

a)

Alpha, within-group df, between-group df

b)

Alpha, number of levels, within-group df

c)

Number of levels, within-group df, between-group df

d)

Alpha, number of levels, between-group df

10.

In an ANOVA study, you have three groups:

  • Group 1 (n=20): z=1.8 (minor skewness)

  • Group 2 (n=20): z=0.8 (no skewness)

  • Group 3 (n=20): z=2.4 (substantial skewness)

What should you do?

a)

No transformation needed, sample size is large.

b)

Transform all groups

c)

Transform only Group 3

d)

Use non-parametric test