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

Section 3 covers descriptive statistics for numeric variables.

This section or chapter covers basic probability concepts.

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

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

Binomial Probability Calculator in JMP

Binomial Probability Calculator in Excel

Chi-square Probability Calculator in JMP

Normal Probability Calculator in JMP

Normal Quantile Calculator in JMP

**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.**

Continuous Random Variables Powerpoint

**Section 14 ~
One-way ANOVA and Block Designs**

**Section 16 ~ Simple Linear Regression**

**Section 17 ~ Transformations in Simple Linear Regression**

** Section 18 ~
Multiple Regression**

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,

**
Handout 12 ~
Classic Statistical Inference**

**
Handout 14 ~ Consequences of the Log Transformation**

**Extra Handouts (FYI)**