STAT 705 (Data Analysis II)

Spring 2008

Syllabus

Syllabus (Word document) or Syllabus (pdf format)

Instructor

David Hitchcock, assistant professor of statistics

Spring 2008 Office Hours:

Mon 11:00-12:00, Tues 1:30-2:30, Wed 11:00-12:00, Thu 10:00-11:00, Fri 1:30-2:15.
Please feel free to make appointments to see me at other times.

Class Meeting Time

MWF 2:30PM - 3:20PM, LeConte College, Room 201A

Textbook:
Required Textbook: "Applied Linear Statistical Models" (5th edition) by Kutner, Nachtsheim, Neter, and Li.
(This is the same book used for STAT 704 in the fall.)

Supplementary Books (NOT required):
"Linear Models with R" by Faraway, J.J.
"Extending the Linear Model with R" by Faraway, J.J.
"An R and S-plus Companion to Applied Regression" by Fox, J.
"Statistical Analysis and Data Display" by Heiberger and Holland.
"Statistical Research Methods in the Life Sciences" by Rao, P.V.

Computer Code for Class Examples

Statistical TopicExample in SAS Code Example in R Code
Regression with Qualitative Predictors SAS example: (Insurance Innovation data & Shirt data) R example: (Insurance Innovation data & Shirt data)
Single-Factor ANOVA SAS example: (Kenton Foods data) R example: (Kenton Foods data)
Regression Approach to ANOVA model SAS example: (Kenton Foods data) R example: (Kenton Foods data)
Investigation of Treatment Means SAS example: (Kenton Foods data) R example: (Kenton Foods data)
Checking ANOVA Model Assumptions SAS example: (Kenton Foods data) R example: (Kenton Foods data)
Two-Factor ANOVA SAS example: (Castle Bakery data) R example: (Castle Bakery data)
Investigation of Factor Effects
(No Interaction)
SAS example: (Castle Bakery data) R example: (Castle Bakery data)
Investigation of Factor Effects
(With Interaction)
SAS example: (Melon data) R example: (Melon data)
Two-Factor ANOVA With
One Observation per Cell
SAS example: (Insurance data) R example: (Insurance data)
Two-Factor ANOVA With
Unequal Cell Sample Sizes
SAS example: (Growth data)
(SAS example includes empty-cell analysis)
R example: (Growth data)
Three-Factor ANOVA SAS example: (stress data) R example: (stress data)
Random-Effects Model SAS example: (Apex Enterprises data) R example: (Apex Enterprises data)
Mixed-Effects Model SAS example: (training data) R example: (training data)
Randomized Complete Block Design SAS example: (executive data) R example: (executive data)
Generalized Random Block Design SAS example: (task completion data) R example: (task completion data)
Balanced Incomplete Block Design SAS example: (taste test data) R example: (taste test data)
Latin Square Design SAS example: (bank teller data) R example: (bank teller data)
Single-Factor Repeated Measures SAS example: (wine judging data) R example: (wine judging data)
Analysis of Covariance SAS example: (cracker data) R example: (cracker data)
Piecewise Regression SAS example: (raw materials data) R example: (raw materials data)
Nested Design SAS example: (training school data) R example: (training school data)
1 × 2 Contingency Tables
(Inference about binomial probability)
(z-test/CI and Binomial test)
SAS example: (driver's test data) R example: (driver's test data)
1 × c Contingency Tables
(Inference about multinomial probabilities)
(Chi-square goodness-of-fit test)
SAS example: (blood types data) R example: (blood types data)
2 × 2 Contingency Tables
(Comparing 2 proportions, independent samples)
(z-test/CI and Fisher's Exact test)
SAS example: (trees data) R example: (trees data)
2 × 2 Contingency Tables
(Comparing 2 proportions, paired samples)
(McNemar's test)
SAS example: (ice cream data) R example: (ice cream data)
r × c Contingency Tables
(Chi-square test for independence &
Chi-square test for homogeneity)
SAS example: (snoring data & voter data) R example: (snoring data & voter data)
Distribution-free Tests in ANOVA
(Kruskal-Wallis Test & multiple comparisons)
SAS example: (soil data) R example: (soil data)
Distribution-free Tests for RCBD
(Friedman Test)
SAS example: (wind speed data) R example: (wind speed data)

Available Computing Resources: R is available as a free download from the CRAN home page) and students who want SAS can buy a copy from USC Computer Services.
These packages are also available on the computers in the labs in LeConte College (and a few other buildings). Help in using R can be found on the CRAN home page.

Downloading Instructions for R

Computing Tips: Some Review

Homework

Data Sets

Review Sheets

Formula Sheets

Information about the Project

Exams