Statistical Design and the Analysis of Experiments
|Instructor: ||W. Robert Stephenson |
| ||3111 Snedecor Hall |
|Phone: ||294-7805 |
|email: || firstname.lastname@example.org |
|homepage: || www.public.iastate.edu/~wrstephe |
|Office Hours: ||M W F 10 to 10:50 am, T 1:10 to 2 pm |
| ||and by appointment |
|Lecture: ||M W F 11 to 11:50 am, Lagomarcino W 262 |
|Text: ||Introduction to Design and Analysis of Experiments. |
| ||by George W. Cobb, Key College Publishing/Springer-Verlag 1998. |
You can download JMP 10 Pro by going to
You should be able to directly download and install JMP from there. Follow the detailed instructions for installation
for either Windows or Mac. The software will work until June 30, 2014.
Course Material and Handouts
Material for the second exam - Friday, March 28, 2014
- Monday, February 17: Multiple Comparisons
Lecture 15: Multiple Comparisons
- Wednesday, February 19: Factorial Crossing
Lecture 16: Factorial Crossing
- Friday, February 21: Go over Exam 1: Informal analysis.
Lecture 17: Recall Experiment - Setup
JMP Data Table for Recall Experiment.
- Monday, February 24: Estimating effects, formal analysis.
Lecture 18:Factorial - Analysis
- Wednesday, February 26: Tests for factor and interaction effects.
Lecture 19: Factorial - Analysis Continued
JMP Fit Model for Recall Experiment
- Friday, February 28: Multiple comparisons, residuals
Lecture 20: Factorial - Multiple Comparisons, Residuals
Comparisons of Treatment Means
Analysis of residuals for Recall Experiment
- Monday, March 3: Contrasts.
Lecture 21: Contrasts
Contrasts for Recall Experiment
Orthogonal Polynomial Contrasts
- Wednesday, March 5: Blocking - How to form blocks?
Lecture 22: Blocking Basics
- Friday, March 7: Torque on Knee Experiment
Lecture 23: Forming Blocks
How does position of feet affect torque on the knee when standing?
- Monday, March 10: Analysis of the torque on knee experiment
Lecture 24: Analysis of Block Designs
JMP Data Table for Torque on Knee
Incorrect and Correct Analyses of Torque on Knee Data
- Wednesday, March 12: More than one observation per block; Advantages and Disadvantages of Block Designs
Lecture 25: More on Block Designs
Variation on the Torque on Knee Experiment
Randomized Complete Block Designs
- Friday, March 14: No Class
Material for the first exam - Friday, February 14, 2014
- Monday, January 13: Introduction, What makes a study and experiment?
Syllabus, Spring 2014
Lecture 1: Introduction
- Wednesday, January 15: Three Basic Principles: Control, Replication and Randomization.
Lecture 2: 3 Principles
- Friday, January 17: Randomization. Comparing two independent samples.
Blood Pressure Experiment
Lecture 3: Randomization
- Monday, January 20: No Class - University Holiday
- Wednesday, January 22: Two Sample t-test
Using JMP to analyze data from the Blood Pressure Experiment
JMP Output for Blood Pressure Experiment
Lecture 4: Two-sample t
- Friday, January 24: Chapter 1 - Confidence intervals, Three Decisions
Lecture 5: CI's, Three Decisions
- Monday, January 27: Chapter 2 - Three sources of variability, three kinds of variability, accuracy and precision
Lecture 6: Variability.
- Wednesday, January 29: Chapter 2 - Models and Conditions; Chapter 3 - Analysis of Variance.
Lecture 7: Models, Conditions, Analysis
- Friday, January 31: Chapter 3 - Analysis of Variance.
Lecture 8: Analysis of Variance
- Monday, February 3: Chapter 3 - Confidence Intervals and residuals.
Lecture 9: Confidence Intervals and Residuals.
Plots of Residuals.
- Wednesday, February 5: Chapter 4 - Decisions on the content of the experiment: Response, conditions, experimental material.
Lecture 10: Response and Conditions.
Lecture 11: Experimental Material.
- Friday, February 7: Chapter 5 - Basic Factorial Design
Sample size tables: see Journal of Quality Technology, Vol. 17, No. 3, July, 1985, p 168-169.
Lecture 12: Popcorn Experiment
Sample size tables
- Monday, February 10: Popcorn Experiment Analysis
Lecture 13: Analysis of Popcorn Experiment
JMP data set for Popcorn Experiment
- Wednesday, February 12: Residuals; Advantages and Disadvantanges of a Completely Randomized Design
Lecture 14: Comparisons and Residuals
Completely Randomized Design
- Friday, February 14: Exam 1
- Exam 1 - Friday, February 14, 2014
- Exam 2 - Friday, March 28, 2014
- Final Exam - Tuesday, May 6, 2014 from 9:45 to 11:45 am