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 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. |

**Homework Assignments**

- Homework 6 - Due March 27, 2015.

**Note you cannot do this assignment unless you have the materials handed out in class on Wednesday, March 11.**

Sample Solution to Homework 6 - Homework 5 - Due March 9, 2015.

JMP Data table for change in heart rate for stepping experiment.

Solution to Homework 5 - Homework 4 - Due February 13, 2015.

Solution to Homework 4 - Homework 3 - Due February 6, 2015

Solution to Homework 3 - Homework 2 - Due January 30, 2015.

The Truth

Solution to Homework 2 - Homework 1 - Due January 23, 2015.

Sample solution to Homework 1

** Project **

** Computing **

You can download JMP 11 Pro by going to www.stat.iastate.edu/resources-2/software-sasjmpr/. 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**

- Monday, February 23: Factorial Crossing

Lecture 16: Factorial Crossing

- Wednesday, February 25: Recall Experiment.

Lecture 17: Recall Experiment - Setup

Recall Experiment

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** - Monday, March 23: Analysis of the torque on knee experiment

Lecture 24: Analysis of Block Designs

Torque on Knee Experiment

JMP Data Table for Torque on Knee

Incorrect and Correct Analyses of Torque on Knee Data

- Wednesday, 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

- Friday, March 27: Latin square design - randomization

Lecture 26: Latin Square Design

Movie Appeal (Latin Square Design) - Monday, March 30: Analysis of the movie appeal experiment

Lecture 27: Latin Square Analysis

JMP Analysis of Movie Appeal Experiment (Latin Square Design)

**Material for the first exam - Friday, February 20, 2015** - Monday, January 12: Introduction, What makes a study and experiment?

Syllabus, Spring 2015

Student Questionnaire

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

ANOVA - 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

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

** Material for the second exam - Friday, April 3, 2015**

** Exam Material **

- Exam 1 - Friday, February 20, 2015
- Things to know and formulas for Exam 1

Takehome problem for the first exam, February 20, 2015 - Sample Exam 1 Spring 2011

JMP output for Lipitor Experiment

- Summary of results for Exam 1, Spring 2014

Summary of results for Exam 1, Spring 2015

- Things to know and formulas for Exam 1
- Exam 2 - Friday, April 3, 2015
- Things to know and formulas for Exam 2

Takehome problems for the second exam, April 3, 2015 - Sample Exam 2 Spring 2011

JMP Output for Stepping Experiment

- Summary of results for Exam 2, Spring 2014

Summary of results for Exam 2, Spring 2015

- Things to know and formulas for Exam 2
- Final Exam -
**Thursday, May 7, 2015 from 9:45 to 11:45 am**