Class lecture notes
All of the lecture notes here are Powerpoint slides. In most cases,
the slides are intended to be used as a portion of a 50-minute lecture
rather than to serve as the entire lecture.
- If you want to use the slides directly in class without editing the
slides, you can do so by selecting "View lecture notes" on the slides'
main index page.
- If you want to edit the slides before using them, you should select
"Download original powerpoint slides" on the slides' main index page.
Then, edit the slides in Powerpoint.
Overview of statistics
- Introduction
to statistics. An introductory lecture or overview of statistics.
Includes a discussion of the difference between samples and populations.
Submitted by Herb McGrath.
Collecting data
- Data
collection forms. General information and rules to
follow when collecting data. Submitted by Laura J. Simon.
Types of data
- Types
of data. Definitions and examples of different types of data.
Submitted by Herb McGrath.
- Types
of data. Definitions and examples
of three main types of data - categorical, measurement, and ranked data.
Some slides borrowed from Herb McGrath and modified. Submitted
by Laura J. Simon.
- Measurement
concepts. A summary of categorical
and measurement variables, as well as discussion of margin of error,
bias, validity, and reliability. Submitted by Bob Heckard.
Describing data numerically
- Measures
of location. How to describe data with
numbers by using measures of location. Submitted by Laura J.
Simon.
- Measures
of variability. How to describe data with
numbers by using measures of variability such as range, interquartile
range, variance, standard deviation, and coefficient of variation.
Submitted by Laura J. Simon.
- Measures
of variation. How to use measures of variation such as range, variance,
standard deviation, interquartile range, and boxplot. Submitted
by Herb McGrath.
Describing data graphically
- Graphs.
An overview of summarizing data using graphs.
Submitted by Laura J. Simon.
Probability and random variables
- Probability.
Definitions, characteristics, and examples of probabilities. Submitted
by Herb McGrath.
- Probability
rules. A summary of probability rules and the ways of assigning
probabilities to events. Submitted by Laura J. Simon.
- Probability
concepts. An introduction to the basic concepts
of probability. Submitted by Bob Heckard.
- The
birthday problem. A sample problem which illustrates the probability
of at least two people in the class having the same birthday.
Submitted by Laura J. Simon.
- Conditional
probabilities. How to compare groups using conditional probabilities,
relative risk, and related measures. Submitted by Laura J.
Simon.
- Two
way tables. An introduction to two way tables and various
probabilities. Submitted by Laura J. Simon.
- Two
way table example: medical diagnostic testing. An example
of accuracy in medical diagnostic testing and the interpretation of
the results. Submitted by Laura J. Simon.
Expected Value
Binomial distribution
- Binomial
distribution. An overview of the binomial distribution and
other general probability distributions. Submitted by Laura
J. Simon
- Bernoulli
trials. An introduction to Bernoulli trials using the binomial
distribution. Submitted by Herb McGrath.
Normal distribution
- Normal
distribution. An introduction to the normal distribution and
probability calculations with it. Submitted by Herb McGrath.
- Normal
distribution. An introduction to the normal distribution and
general continuous probability density functions. Submitted
by Laura J. Simon.
- Assessing
normality. Interpreting normal probability plots. Submitted
by Herb McGrath.
Sampling distributions
Confidence Intervals
Hypothesis testing: concepts
- Mr.
Orangejuice goes on trial. An evaluation of the difference
in the Type I error rates in civil trials and criminal trials.
Submitted by Mosuk Chow.
- Type
I and Type II errors. How to minimize
the chance of Type I and Type II Errors. Submitted by Laura
J. Simon.
- Hypothesis
testing: Part I. An introduction
to the general ideas of hypothesis testing. Submitted by Laura J.
Simon.
- Hypothesis
testing: Part II. A continuation
of the introduction to hypothesis testing including types of errors
and making a decision based on the p-value. Submitted by Laura
J. Simon.
- Examples
of hypothesis tests. A summary of examples
of several hypothesis tests. Submitted by Laura J. Simon.
Hypothesis testing: means
Hypothesis testing: proportions
Principles of experimental design
- Types
of studies. Comparing observational
studies and experiments. Submitted by Laura J. Simon.
Samples, surveys and polls
- Sampling.
An introduction to sampling with replacement, sampling without replacement,
and random sampling. Submitted by Herb McGrath.
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