I will post lectures here the day before class. You are welcome to print out the PDFs and bring them to class. This keeps you from having to write down redundant information and allows you to concentrate on understanding the material


Mon, Jan 14 - Overview
Lecture 1 - PDF
Lecture 1 - PPT


Wed, Jan 16 - Research Design
Lecture 2 - PDF
Lecture 2 - PPT


Fri, Jan 18 - Goal of Statistics
Lecture 3 - PDF
Lecture 3 - PPT


Wed, Jan 23 - Distributions
Lecture 4 - PDF
Lecture 4 - PPT
Lecture 4 - R Script


Fri, Jan 25 - Central Tendency
Lecture 5 - PDF
Lecture 5 - PPT


Mon, Jan 28 - Variability I
Lecture 6 - PDF
Lecture 6 - PPT


Wed, Jan 30 - Variability II
Lecture 7 - PDF
Lecture 7 - PPT


Fri, Feb 1 - z-scores
Lecture 8 - PDF
Lecture 8 - PPT


Mon, Feb 4 & Wed, Feb 6 - probability and the normal distribution
Lectures 9 & 10 - PDF
Lectures 9 & 10 - PPT
Lectures 9 & 10 - R script


Fri, Feb 8 & Mon, Feb 11 - sampling distribution of the mean
Lecture 11 & 12 - PPT
Lecture 11 & 12 - PDF
Lecture 11 & 12 - R script


Mon, Feb 18, Wed, Feb 20, & Fri, Feb 22 - hypothesis testing
Lectures 13-15 - PPT
Lectures 13-15 - PDF


Mon, Feb 25, Wed, Feb 27, & Fri, Mar 1 - One and Two Sample T-tests
Lectures 16-18 - PPT
Lectures 16-18 - PDF


Mon, Mar 4 - Dependent Samples T-tests
Lecture 17
Lecture 17


Wed, Mar 6 - Estimation & Confidence Intervals
Lecture 20 - PPT
Lecture 20 - PDF


Fri, Mar 8 - Hypothesis and T-test review
Lecture 21 - PPT
Lecture 21 - PDF


Mon, Mar 11 - Fri, Mar 15 - ANOVA
Lectures 22-25 - PDF
Lectures 22-25 - PPT


Mon, Apr 1 - Repeated Measures ANOVA
Lecture 26 - PPT
Lecture 26 - PDF


Wed, Apr 3 - Mon, Apr 8 - Factorial ANOVA
Lectures 27-29 - PPT
Lectures 27-29 - PDF



Wed, Apr 10 - Fri Apr 12 - Correlation
Lectures 30-31 - PPT
Lectures 30-31 - PDF


Mon, Apr 15 - Mon Apr 22 - Regression & Multiple Regression
Lectures 32-35 - PPT
Lectures 32-35 - PDF