Stat 141 Outline Fall 2006

Keyed to Text: Statistics for the Life Sciences, Samuels and Witmer, Prentice-Hall, 3rd Edition, 2003.
For details on course content see Course Files and Examples page  and    the R-diary page

Part I. Introduction to Data Analysis and Infrastructure for Inference

1. Describing Collections of Data.                     SW Chapter 2
Types of Data; Describing distributions by numerical summaries and plots.

2. Introduction to probability and probability distributions.         SW Chapter 3, Chapter 4.
Random variables, Discrete distributions (Binomial, Poisson) and continuous distributions (Normal , Uniform, Exponential).

3. Sampling Distributions                                SW Chapter 5
The distribution of the sample mean, normal approximation.

Part II. Basic Statistical Inference Methods

4. Confidence Intervals and HypothesisTests, single mean                                    SW Chapter 6,9
Confidence interval for the population mean, including paired data. Inference for single proportion.

5. A bit of Research Design                            SW Chapter 8
Statistical principles when designing experiments, surveys etc. Sample size and power calculations.

6. Inference for Two-sample Comparisons.              SW Chapter 7.
Confidence intervals and statistical hypotheses testing, including nonparametric alternatives.

Part III. Intermediate Statistical Methods

7. Comparison of multiple classifications.                            SW Chapter 11
Analysis of variance models, omnibus F tests, multiple comparisons. Intro to randomized blocks and factorial designs.

8. Analysis of Categorical Data                                           SW Chapter 10
Contingency tables, methods for univariate and bivariate data. Chisquare test for independence, relative risk and odds ratio.

9. Associations among measured variables.                            SW Chapter 12
Linear Regression and Correlation, Extensions to logistic regression. Intro to multivariate methods .