STAT 402
Statistical Design and the Analysis of Experiments

Instructor:	W. Robert Stephenson
	3111 Snedecor Hall
Phone:	294-7805
email:	wrstephe@iastate.edu
homepage:	www.public.iastate.edu/~wrstephe
Office Hours:	M W F 10:00 to 10:50 am
Spring 2013	and by appointment, in 3111 Snedecor Hall.
Lecture:	M W F 11:00 to 11:50, 209 Marston
Text:	Introduction to Design and Analysis of Experiments.
	by George W. Cobb, Key College Publishing/Springer-Verlag 1998.

Homework Assignments

Homework 9 - Due May 3, 2013.
Ants JMP Data Table
Heart rate JMP Data Table
Homework 9 solution
Homework 8 - Due April 26, 2013
JMP Data Table with Accident Reduction Project data.
Homework 8 solution
Homework 7 - Due April 5, 2013.
Solution to Homework 7
Homework 6 - Due March 29, 2013.
Note you cannot do this assignment unless you have the materials handed out in class.
Sample Solution to Homework 6
Homework 5 - Due March 15, 2013.
JMP Data table for Memory Experiment
Solution to Homework 5
Homework 4 - Due March 6, 2013.
JMP Data table for Memory Experiment
Solution to Homework 4
Homework 3 - Due February 15, 2013
Solution to Homework 3
Homework 2 - Due February 4, 2013.
Solution to Homework 2
Homework 1 - Due January 25, 2012.
The Truth
Sample solution to Homework 1

Project

Project Guidelines
Project Grading Rubric

Computing

You can download Version 10 of JMP by going to www.stat.iastate.edu/resources/software/jmp/. 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, 2013.

Course Material and Handouts

New material for the final exam - Monday, May 6, 9:45 to 11:45 am

Monday, April 8: Split plot design - Soybean varieties and insecticides.
Lecture 31: Split Plot/Repeated Measures Designs
Wednesday, April 10: Repeated measures design - Exam aids and type of exam.
Lecture 31: Split Plot/Repeated Measures Designs
Monday, April 15: Split plot/Repeated measures - Time and solitary confinement.
Lecture 32: Solitary confinement experiment.
Solitary Confinement(Split Plot Design/Repeated Measures)
Wednesday, April 17: JMP analysis of a split plot/repeated measures design
Lecture 33: Analysis: Solitary Confinement
JMP data table with Solitary Confinement data
JMP Analysis of Solitary Confinement Experiment (Split Plot Design)
Friday, April 19: More analysis of a split plot/repeated measures design
Lecture 34: More Analysis: Solitary Confinement
More JMP Analysis of the Solitary Confinement Experiment (Split Plot Design)
Monday, April 22: Analysis of residuals for a Split Plot/Repeated Measures Design
Lecture 35: Residuals - Solitary Confinement
Residuals for the Solitary Confinement Experiment
Analysis of Alternative Prisoner Study
Wednesday, April 24: Three way factorial - completely randomized design
Lecture 36: Three way factorial - CRD
Treatment of Agoraphobia Experiment
3-way interaction plot
JMP data table with Agoraphobia data
JMP Analysis of Treatment of Agoraphobia Experiment
Friday, April 26: Three way factorial - randomized complete block design
Lecture 37: Three way factorial - RCBD
Tool Wear Experiment
JMP Analysis of Tool Wear Experiment
Monday, April 29: Using centerpoints to estimate random error variation.
Lecture 38: Center Points
Bread Wrapper Strength Experiment
Wednesday, May 1: Analysis using center points
Lecture 39: Analysis using Center Points
JMP analysis of the Bread Wrapper Experiment
Material for the second exam - Friday, April 12, 2013
Monday, February 18: Multiple Comparisons
Lecture 15: Multiple Comparisons
Wednesday, February 20: Review for Exam 1
Monday, February 25: Factorial Crossing
Lecture 16: Factorial Crossing
Wednesday, February 27: Go over Exam 1: Informal analysis.
Lecture 17: Recall Experiment - Setup
Recall Experiment
JMP Data Table for Recall Experiment.
Friday, March 1: Estimating effects, formal analysis.
Lecture 18:Factorial - Analysis
Monday, March 4: Tests for factor and interaction effects.
Lecture 19: Factorial - Analysis Continued
JMP Fit Model for Recall Experiment
Wednesday, March 6: Multiple comparisons, residuals
Lecture 20: Factorial - Multiple Comparisons, Residuals
Comparisons of Treatment Means
Analysis of residuals for Recall Experiment
Friday, March 8: Contrasts.
Lecture 21: Contrasts
Contrasts for Recall Experiment
Orthogonal Polynomial Contrasts
Monday, March 11: Blocking - How to form blocks?
Lecture 22: Blocking Basics
Wednesday, March 13: Torque on Knee Experiment
Lecture 23: Forming Blocks
How does position of feet affect torque on the knee when standing?
Friday, March 15: 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
Monday, March 25: 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
Wednesday, March 27: Latin square design - randomization
Lecture 26: Latin Square Design
Movie Appeal (Latin Square Design)
Friday, March 29: Analysis of the movie appeal experiment
Lecture 27: Latin Square Analysis
JMP Analysis of Movie Appeal Experiment (Latin Square Design)
Monday, April 1: Factorial crossing with a block design - Dental Pain Experiment
Lecture 28: Dental Pain Experiment
Relief of Post-operative Dental Pain
Wednesday, April 3: Analysis of Dental Pain Experiment
Lecture 29: Analysis of Dental Pain Experiment
JMP data table with Dental Pain data
JMP Analysis of Dental Pain Experiment
Friday, April 5: More on Factorial Crossing/Designs.
Lecture 30: More on Factorial Crossing/Designs
Does significance of treatments imply a significant factor or interaction?
Parameter Estimates and Estimated Effects
Material for the first exam - Friday, February 22, 2013
Monday, January 14: Introduction, What makes a study and experiment?
Syllabus, Spring 2013
Student Questionnaire
Lecture 1: Introduction
Wednesday, January 16: Three Basic Principles: Control, Replication and Randomization.
Lecture 2: 3 Principles
Friday, January 18: Randomization. Comparing two independent samples.
Blood Pressure Experiment
Lecture 3: Randomization
Monday, January 21: No Class - University Holiday
Wednesday, January 23: 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 25: Chapter 1 - Confidence intervals, Three Decisions
Lecture 5: CI's, Three Decisions
Monday, January 28: Chapter 2 - Three sources of variability, three kinds of variability, accuracy and precision
Lecture 6: Variability.
Wednesday, January 30: Chapter 2 - Models and Conditions; Chapter 3 - Analysis of Variance.
Lecture 7: Models, Conditions, Analysis
Friday, February 1: Chapter 3 - Analysis of Variance.
Lecture 8: Analysis of Variance
ANOVA
Monday, February 4: Chapter 3 - Confidence Intervals and residuals.
Lecture 9: Confidence Intervals and Residuals.
Plots of Residuals.
Wednesday, February 6: Chapter 4 - Decisions on the content of the experiment: Response and conditions.
Lecture 10: Response and Conditions.
Friday, February 8: Chapter 4 - Decisions on the content of the experiment: Experimental units.
Lecture 11: Experimental Material.
Monday, February 11: 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
Wednesday, February 13: Popcorn Experiment Analysis
Lecture 13: Analysis of Popcorn Experiment
Popcorn Experiment
JMP data set for Popcorn Experiment
Friday, February 15: Residuals; Advantages and Disadvantanges of a Completely Randomized Design
Lecture 14: Comparisons and Residuals
Completely Randomized Design

Exam Material

Exam 1 - Friday, February 22, 2013
Exam 2 - Friday, April 12, 2013
Final Exam - Monday, May 6, 2013 from 9:45 to 11:45 am

STAT 402 Statistical Design and the Analysis of Experiments

STAT 402
Statistical Design and the Analysis of Experiments