BIOL2022 L06 ANOVA in practice. Why do it? Analyses with more than two means; interactions
Description
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 ^^
ANOVA vs t-tests:
Fundamentally, what can ANOVA do that t-tests can’t?
Answer
Work with more than 2 means
Cook steak fuckin’ perfectly
Compare means directionally
Question 2
Question
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:
Answer
Need to transform first
Data is good, go ahead
Question 3
Question
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:
Answer
Need to transform data first
Data is good, go ahead
Question 4
Question
ANOVA is good an all that, but:
Data [blank_start]___________[blank_end];
Normality [blank_start]____________[blank_end];
Variance [blank_start]____________[blank_end].
Answer
must be independent
isn’t important
must be homogeneous
need not be independent
need not be homogeneous
is important
must be independent
isn’t important
must be homogeneous
need not be independent
need not be homogeneous
is important
must be independent
isn’t important
must be homogeneous
need not be independent
need not be homogeneous
is important
Question 5
Question
What conclusion(s) can be drawn from this 2-way ANOVA?