In data analysis and interpretation, prediction can be used to mean that one variable
a) Is statistically associated with another, whether or not it actually comes before (really predicts) another
b) Is a moderator for another variable
c) Is statistically significant and produces a strong magnitude of effect (effect size)
d) May play a causal role in the outcome or other variable
Question 2
In interpretation of the data, the term highly significant effect is a misnomer because
a) Significance testing is all or none.
b) It only applies in certain cases.
c) It is a vague reference to effect size.
d) Highly significant should be termed very significant.
Energy budget for a temperate deciduous forest (data from Gosz et al. 1978).
Genetic analysis begins with mutants
Negative feedback control of a regulated variable.
Flow cytometry data that shows the differences in CD3+ CD4+ cells that occur with HIV infection. ...
Function Analysis
Table - Analysis