Statistical Design and the Analysis of Experiments
|Instructor: ||W. Robert Stephenson |
| ||3111 Snedecor Hall |
|Phone: ||294-7805 |
|email: || email@example.com |
|homepage: || www.public.iastate.edu/~wrstephe |
|Office Hours: ||M W F 10 to 10:50 am |
| ||and by appointment |
|Lecture: ||M W F 11 to 11:50 am, Town 270 |
|Text: ||Introduction to Design and Analysis of Experiments. |
| ||by George W. Cobb, Key College Publishing/Springer-Verlag 1998. |
You can download JMP 11 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, 2015.
Course Material and Handouts
Material for the second exam - Friday, April 3, 2015
- Monday, February 23: Factorial Crossing
Lecture 16: Factorial Crossing
- Wednesday, February 25: Recall Experiment.
Lecture 17: Recall Experiment - Setup
JMP Data Table for Recall Experiment.
- Friday, February 27: Estimating effects, formal analysis.
Lecture 18:Factorial - Analysis
- Monday, March 2: Tests for factor and interaction effects.
Lecture 19: Factorial - Analysis Continued
JMP Fit Model for Recall Experiment
- Wednesday, March 4: Multiple comparisons, residuals
Lecture 20: Factorial - Multiple Comparisons, Residuals
Comparisons of Treatment Means
Analysis of residuals for Recall Experiment
- Friday, March 6: Contrasts.
Lecture 21: Contrasts
Contrasts for Recall Experiment
Orthogonal Polynomial Contrasts
- Monday, March 9: Blocking Basics
Lecture 22: Blocking Basics
- Wednesday, March 11: Blocking - How to form blocks?
Lecture 23: Forming Blocks
- Friday, March 13: No Class
Material for the first exam - Friday, February 20, 2015
- Monday, January 12: Introduction, What makes a study and experiment?
Syllabus, Spring 2015
Lecture 1: Introduction
- Wednesday, January 14: Three Basic Principles: Control, Replication and Randomization.
Lecture 2: 3 Principles
- Friday, January 16: Randomization. Comparing two independent samples.
Blood Pressure Experiment
Lecture 3: Randomization
- Monday, January 19: No Class - University Holiday
- Wednesday, January 21: 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 23: Chapter 1 - Confidence intervals, Three Decisions
Lecture 5: CI's, Three Decisions
- Monday, January 26: Chapter 2 - Three sources of variability, three kinds of variability, accuracy and precision
Lecture 6: Variability.
- Wednesday, January 28: Chapter 2 - Models and Conditions; Chapter 3 - Analysis of Variance.
Lecture 7: Models, Conditions, Analysis
- Friday, January 30: Chapter 3 - Analysis of Variance.
Lecture 8: Analysis of Variance
- Monday, February 2: Chapter 3 - Confidence Intervals and residuals.
Lecture 9: Confidence Intervals and Residuals.
Plots of Residuals.
- Wednesday, February 4: Chapter 4 - Decisions on the content of the experiment: Response, conditions, experimental material.
Lecture 10: Response and Conditions.
Lecture 11: Experimental Material.
- Friday, February 6: 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 9: Popcorn Experiment Analysis
Lecture 13: Analysis of Popcorn Experiment
JMP data set for Popcorn Experiment
- Wednesday, February 11: Residuals; Advantages and Disadvantanges of a Completely Randomized Design
Lecture 14: Comparisons and Residuals
Completely Randomized Design
- Friday, February 13: Multiple Comparisons
Lecture 15: Multiple Comparisons
- Exam 1 - Friday, February 20, 2015
- Exam 2 - Friday, April 3, 2015
- Final Exam - Thursday, May 7, 2015 from 9:45 to 11:45 am