# Statistics 401 A XM Handouts

### Fall 2003

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Stat 401 A XM Home Page

Dan Nettleton's Home Page

### Handouts

- Syllabus
- Computing Instructions
- Experiments vs. Observational Studies
- Five-Number Summary
- Histogram Matching
- Using Sample Data to Draw Conclusions about Population Means
- A Section 2.2 Practice Problem
- Comparing Two Means
- A
Discussion of the t-Tool Assumptions
- An Analysis Using the Natural Log Transformation
- The Rank-Sum Test
- A Primer on Factorials and Combination Numbers
- The Sign Test and Wilcoxon Signed-Rank Test
- What test should I use?
- The One-Way Analysis of Variance F-Test
- The ANOVA Table and Comparison of Full and Reduced Models
- The Paper Airplane Experiment
- Linear Combinations of Means
- A Contrast that Tests for a Linear Trend
- Examination of Residuals in One-Way ANOVA (Crab Example)
- Adjustments for Multiple Testing and Estimation
- Adjustments for Multiple Testing and Estimation in SAS (Chicken Example)
- The Sample Linear Correlation Coefficient
- Introduction to the Least-Squares Regression Line
- Inference in Linear Regression
- Analysis of Variance for Simple Linear Regression
- SAS Code and Output for the Analysis of Minimum January Temperature vs. Latitude for 56 U.S. Cities (ustemps.sas)
- Estimation of Means and Prediction of Values in Simple Linear Regression
- Examining Residuals in Simple Linear Regression
- Interpreting the Slope of the Least-Squares Regression Line
- A Lack-of-Fit Test for Simple Linear Regression
- Introduction to Multiple Linear Regression
- SAS Code and Output to Accompany Introduction to Multiple Linear Regression
- Introduction to Indicator Variables and Interaction in Multiple Linear Regression
- SAS for Indicators and Interaction Some Practice Problems to accompany the SAS Output
- Introduction to Two-Factor Analysis of Variance
- Introduction to Two-Factor Analysis of Variance (continued)
- Means vs. LSMeans and Type I vs. Type III Sums of Squares
- Randomized Complete Block Designs
- Re-analysis of the Airplane Data

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