FSU Statistics STA 3024 -Intermediate Applied Statistics Spring, 2001

Instructor: Duane Meeter Office Hours: 1-2 TTh, 201D OSB, or by appointment

e-mail: meeter@stat.fsu.edu phone: 644-8402

Text: Notes at Target Copy, 623 W. Tennessee St., about $6. Keep your text from STA 2122 for review.

Grader: Rommel Bain, 201B OSB, bain@stat.fsu.edu

OUTLINE

Elements of a Designed Experiment 1

Completely Randomized Experiment or Study

Checking the Assumptions; Transformations

Multiple Comparisons

Randomized Block Design

Normal Probability Plots

Factorial Designs

Regression

Correlation; Prediction

Multiple Regression

Dummy Variables; Checking for Different Slopes;

Testing a Large Residual; Testing Portions of a Model

Analysis of Covariance

Model Building

Variable Selection and Model Building; The Cp Statistic

Count Data and Contingency Tables

GRADING

Overall Data Analysis

Data Analysis and Homework 40% Technical Competence 40%

First Test 20% Completeness 40%

Second Test 20% Clarity, Neatness 15%

Last Test 20% Extra Work or Insight 5%

(A = 93%, A- = 90%, B+ = 87%, B = 84%, B- = 80%, etc.)

OBJECTIVES

Be able to

- State models, assumptions, advantages and disadvantages of a design

- Discuss seriousness of assumption violations and how to check for them

- Analyze data and write out results & conclusions in both technical and non-technical terms

- Given a verbal description or plan of experiment, describe design and ANOVA table

- Given a research hypothesis and experimental constraints, specify a design, including treatment levels, controls, and replication, which will answer the given question, or specify a regression study.

Original Work: Students in this course may assist each other with performing computer runs. They may even discuss with each other what graphs, plots, or analyses they have produced. All interpretations, writeups, discussion, etc. of their results must be their own work.