BIOL2022 L06 ANOVA in practice. Why do it? Analyses with more than two means; interactions
Descrição
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?
Responda
Work with more than 2 means
Cook steak fuckin’ perfectly
Compare means directionally
Questão 2
Questão
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:
Responda
Need to transform first
Data is good, go ahead
Questão 3
Questão
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:
Responda
Need to transform data first
Data is good, go ahead
Questão 4
Questão
ANOVA is good an all that, but:
Data [blank_start]___________[blank_end];
Normality [blank_start]____________[blank_end];
Variance [blank_start]____________[blank_end].
Responda
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
Questão 5
Questão
What conclusion(s) can be drawn from this 2-way ANOVA?