We have run a single replication of a very large factorial design (e.g., 20 factors with 3 levels each). What is a way we can try to determine what

Please pick one of the below answers. The correct answer is one of the following options:

Two-way factorial ANOVA

One-sample t-test

Chi-square test of independence

Randomized incomplete block design

Chi-square goodness-of-fit

Factor screening

Chi-square with blocking

Monte-carlo simulation

Log the variable

Square the variable

One-way ANOVA

Randomized Complete Block Design

Jackknife-boostrapping

One-way ANOVA with blocking 

Latin square design

Paired t-test

z-test

independent t-test with blocking

independent t-test

adjust for p-value inflation