STEM / applied
Experimental design · Undergraduate · Math
Learning objectives from the Experimental design syllabus, grouped by unit. Click an objective for study materials.
Topics typically covered
Click a topic for the full text and related unit practice.
Undergraduate Experimental design — outline derived from course README sections and typical US statistics syllabi (OpenIntro / standard OER where applicable).
Design principles
- Randomization and replication — Randomization and replication
- Blocking — Blocking
- Completely randomized designs — Completely randomized designs
- Randomized complete block designs — Randomized complete block designs
- Latin squares — Latin squares
- Crossover designs (introduction) — Crossover designs (introduction)
- Factorial experiments: main effects — Factorial experiments: main effects
- Interactions — Interactions
Analysis of variance
- One-way ANOVA: decomposition — One-way ANOVA: decomposition
- F-tests — F-tests
- Two-way ANOVA with — Two-way ANOVA with
- Without interaction — Without interaction
- Multiple comparisons: Tukey, Bonferroni — Multiple comparisons: Tukey, Bonferroni
- Fixed vs random effects (introduction) — Fixed vs random effects (introduction)
- Split-plot — Split-plot
- Nested designs (overview) — Nested designs (overview)
Advanced design topics
- Response surface methodology (introduction) — Response surface methodology (introduction)
- Fractional factorial designs — Fractional factorial designs
- Confounding — Confounding
- Aliasing in 2^k designs — Aliasing in 2^k designs
- Optimal design criteria (D- — Optimal design criteria (D-
- A-optimality intro) — A-optimality intro)
Learning objectives
Click an objective for study materials.
Design principles
- Randomization and replication — Randomization and replication
- Blocking — Blocking
- Completely randomized designs — Completely randomized designs
- Randomized complete block designs — Randomized complete block designs
- Latin squares — Latin squares
- Crossover designs (introduction) — Crossover designs (introduction)
- Factorial experiments: main effects — Factorial experiments: main effects
- Interactions — Interactions
Analysis of variance
- One-way ANOVA: decomposition — One-way ANOVA: decomposition
- F-tests — F-tests
- Two-way ANOVA with — Two-way ANOVA with
- Without interaction — Without interaction
- Multiple comparisons: Tukey, Bonferroni — Multiple comparisons: Tukey, Bonferroni
- Fixed vs random effects (introduction) — Fixed vs random effects (introduction)
- Split-plot — Split-plot
- Nested designs (overview) — Nested designs (overview)
Advanced design topics
- Response surface methodology (introduction) — Response surface methodology (introduction)
- Fractional factorial designs — Fractional factorial designs
- Confounding — Confounding
- Aliasing in 2^k designs — Aliasing in 2^k designs
- Optimal design criteria (D- — Optimal design criteria (D-
- A-optimality intro) — A-optimality intro)
Multi-Unit Problems
Course-level sets that combine skills across study units (coming soon).
Browse Multi-Unit ProblemsWhat each unit includes
Open a unit below for full materials. Typical resources:
- Study guide
- Exam Strategy
- Common Mistakes
- Worksheets
- Word problems
- Mixed Practice
- Multi-Unit Problems
- Review
- Practice test
- Answer key
Study units
Each unit includes a study guide, worksheets, review, practice test, and answer key. One unit is free; subscribe for the full class.
- Design principles
Randomization and replication
Coming soon - Analysis of variance
One-way ANOVA: decomposition
Coming soon - Advanced design topics
Response surface methodology (introduction)
Coming soon
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$1,162 · Experimental design · 18 tutoring hrs
Study guides, worksheets, reviews, practice tests, and answer keys for 1 class. 18 tutoring hours (1 hr / week · semester). Bundle discount applied vs buying separately. Pay in full via Zelle.