Factorial designs reveal not just what works but why it works. Sharpen your skills in structuring powerful experiments.
A 2^3 factorial experiment tests how many treatment combinations?
8
6
16
4
In factorial terminology, an effect where the impact of one factor depends on another is called an ______ effect.
interaction
random
additive
blocking
Adding centre points to a factorial design primarily helps detect ______.
heteroscedasticity
multicollinearity
curvature in the response
serial correlation
A fractional factorial 2^(k‑p) design is most useful when you want to ______.
model every high‑order interaction
reduce the number of required runs while screening factors
increase aliasing
avoid randomisation
Design resolution describes the level of ______ between effects in a fractional factorial.
variance
stratification
confounding (aliasing)
power
Blocking in factorial experiments is a strategy to handle ______ variables.
independent
nuisance
latent
response
Which statistical technique is typically applied to analyse factorial experiment results?
K‑nearest neighbours
Latent Dirichlet allocation
ANOVA
Survival analysis
In marketing email tests, factors might include subject line, send time, and ______.
preview text snippet
email size in KB
subscriber age
SMTP server
Aliasing in a fractional factorial design means that two or more effects are ______.
over‑sampled
auto‑correlated
statistically indistinguishable in the analysis
mutually exclusive
To visualise interaction effects in a 2‑factor experiment, analysts often use ______ plots.
funnel
scatter matrix
interaction (profile)
Pareto
Starter
Starter—brush up on factorial notation.
Solid
Solid—you understand factors and interactions.
Expert!
Expert—your factorial designs balance rigour and efficiency.
