This page contains Microsoft Word versions of the lecture handouts.  You can import these into Windows Journal to create files that you write on with your stylus if you have a tablet PC. You are responsible for downloading or printing the course notes.

Section 1 - Introduction to Statistics, Study Design, and Sampling
This handout covers introductory material and types of studies & study design issues. 

Types of Studies Powerpoint - This is the Powerpoint presentation I went through on study designs.

Types of Studies (Narrated Lecture) - This is basically the same Powerpoint as above, but is narrated. (OPTIONAL)

Organizing and Displaying Data (Narrated Lecture) - This a narrated lecture that covers data entry, data type, and basic descriptive methods. (OPTIONAL)

Section 2 - Descriptive Methods for Categorical Variables

Section 2 covers descriptive statistics for categorical variables and discusses the basics of data entry in JMP.

Section 3 - Descriptive Methods for Numeric Variables

Section 3 covers descriptive statistics for numeric variables.

Section 4 - Probability

This section or chapter covers basic probability concepts.

Section 5 - Baye's Rule and Medical Screening Tests

This section covers an application of conditional probabilities and introduces Baye's Rule.

Section 6 - Inference for a Single Population Proportion (part 1)

Section 6 - Inference for a Single Population Proportion (part 2)

This section introduces the concepts of statistical inference and begins examining inference for a single population proportion.
Link to Applet used in class: Binomial Simulation Applet by Rossman/Chance

Section 6 - Inference for a Single Population Proportion (part 3)

Section 6 - Inference for a Single Categorical Variable (nominal or ordinal) (part 4)

Section 7 - Methods for Analyzing Two or More Categorical Variables (part 1)

Section 7 - Methods for Analyzing Two or More Categorical Variables (part 2)

Section 8 - Continuous Random Variables and the Normal Distribution

Section 9 - Sampling Distribution for the Sample Mean

Section 10 - Inference for Single Population Mean

Section 11 - Comparing Two Population Means - Dependent and Independent Samples

Section 12 - Comparing Several Population Means (One-way ANOVA)

Section 13 - Randomized Complete Block Designs (Repeated Measures ANOVA)

Section 14 - Two-way ANOVA

Section 15 - Nonparametric Tests

Section 16 - Correlation and Linear Regression




Section 15 - Two-way ANOVA


Section 17 - Correlation & Simple Linear Regression

Flow chart for Continuous Response

Flow chart for Dichotomous Categorical Response







Section 2 - Data Types
This handout covers types of data/variables.

Section 3 - This handout covers data entry in JMP and methods for describing a single categorical/nominal variable.

Section 4 ~ Summarizing Numeric Data and Comparative Displays. This large handout covers different aspects of summarizing numeric variables and displays used to compare a numeric variable across populations or treatment groups. The las two pages contain an important discussion of how examining relationships between two variables depends on the data type of the two variables involved.

Examining Relationships Between Two Variables Powerpoint

Section 5 ~ Introduction to probability, contingency tables, conditional probability, relative risk and odds ratios.

Probability Powerpoint - This is the probability powerpoint I used in class.

Bivariate Displays for Categorical Variables - descriptive statistics for examining the relationship between categorical variables.

Section 6 ~ Baye's rule and medical screening tests.

Baye's Rule Powerpoint

Section 7 ~ Common Discrete Random Variables - Binomial and Poisson

Binomial Table in JMP

Poisson Table in JMP

Section 8 ~ Continuous Random Variable I filled in the missing notes from yesterday, you can get them by clicking here.

Continuous Random Variables Powerpoint

Sections 9 and 10 - Sampling Distributions and Confidence Intervals

Section 11 ~ Determining Sample Size for Desired Margin of Error

Section 12 - Statistical Inference for Population Means and Proportions

Section 13 - Consequences of the Log Transformation

Section 14 ~ One-way ANOVA and Block Designs

Section 15 ~ Two-way ANOVA

Section 16 ~ Simple Linear Regression

Section 17 ~ Transformations in Simple Linear Regression

Section 18 ~ Multiple Regression

Section 19 ~ Analysis of Categorical Data

Handouts past here are not up-to-date!!

Section 20 ~ Nonparametric Tests

Handout 9-10 ~ Sampling Distributions and Confidence Intervals *   
confidence intervals are for m, p, (p1-p2), RR, and OR

Handout 12 ~ Classic Statistical Inference


Handout 14 ~ Consequences of the Log Transformation

Handout 16 - Two-Way ANOVA



Extra Handouts (FYI)