Zusammenfassung der Ressource
Frage 1
Frage
ANOVA vs t-tests:
Fundamentally, what can ANOVA do that t-tests can’t?
Antworten
-
Work with more than 2 means
-
Cook steak fuckin’ perfectly
-
Compare means directionally
Frage 2
Frage
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:
Antworten
-
Need to transform first
-
Data is good, go ahead
Frage 3
Frage
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:
Frage 4
Frage
ANOVA is good an all that, but:
Data [blank_start]___________[blank_end];
Normality [blank_start]____________[blank_end];
Variance [blank_start]____________[blank_end].
Antworten
-
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
Frage 5
Frage
What conclusion(s) can be drawn from this 2-way ANOVA?
Antworten
-
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