BIOL2022 L06 ANOVA in practice. Why do it? Analyses with more than two means; interactions

Question 1 of 5

1

ANOVA vs t-tests:
Fundamentally, what can ANOVA do that t-tests can’t?

Select one or more of the following:

Work with more than 2 means
Cook steak fuckin’ perfectly
Compare means directionally

Explanation

Question 2 of 5

1

Homogeneity of variance:
Levene’s and Cochran’s are different tests for this homogeneity/heterogeneity of variance.
If they are found to be significant (P<0.05), this means:

Select one of the following:

Need to transform first
Data is good, go ahead

Explanation

Question 3 of 5

1

Homogeneity of variance:
Levene’s and Cochran’s are different tests for this homogeneity/heterogeneity of variance.
If they are found to be not significant (P>0.05), this means:

Select one of the following:

Need to transform data first
Data is good, go ahead

Explanation

Question 4 of 5

3

Select from the dropdown lists to complete the text.

ANOVA is good an all that, but:
Data ( must be independent, isn’t important, must be homogeneous, need not be independent, need not be homogeneous, is important );
Normality ( must be independent, isn’t important, must be homogeneous, need not be independent, need not be homogeneous, is important );
Variance ( must be independent, isn’t important, must be homogeneous, need not be independent, need not be homogeneous, is important ).

Explanation

Question 5 of 5

1

What conclusion(s) can be drawn from this 2-way ANOVA?

Select one or more of the following:

Vegetation and Disturbance have a significant interaction
Vegetation has a significant effect
Disturbance has a significant effect
No significance can be drawn from this ANOVA

	Created by Michael Jardine about 6 years ago

Module 1, Lecture 6 By the end of this lecture you should understand: - Why we need ANOVA - Entering data and running a 1-way ANOVA - Interpreting a 1-way ANOVA - Entering data and running a 2-way orthogonal ANOVA - Interpretation of one of those ^^

BIOL2022 L06 ANOVA in practice. Why do it? Analyses with more than two means; interactions

Question 1 of 5

ANOVA vs t-tests: Fundamentally, what can ANOVA do that t-tests can’t?

Select one or more of the following:

Explanation

Question 2 of 5

Homogeneity of variance: Levene’s and Cochran’s are different tests for this homogeneity/heterogeneity of variance. If they are found to be significant (P<0.05), this means:

Select one of the following:

Explanation

Question 3 of 5

Homogeneity of variance: Levene’s and Cochran’s are different tests for this homogeneity/heterogeneity of variance. If they are found to be not significant (P>0.05), this means:

Select one of the following:

Explanation

Question 4 of 5

Select from the dropdown lists to complete the text.

Explanation

Question 5 of 5

What conclusion(s) can be drawn from this 2-way ANOVA?

Select one or more of the following:

Explanation

ANOVA vs t-tests:
Fundamentally, what can ANOVA do that t-tests can’t?

Homogeneity of variance:
Levene’s and Cochran’s are different tests for this homogeneity/heterogeneity of variance.
If they are found to be significant (P<0.05), this means:

Homogeneity of variance:
Levene’s and Cochran’s are different tests for this homogeneity/heterogeneity of variance.
If they are found to be not significant (P>0.05), this means: