# Tutorial

This tutorial contains links to a very incomplete collection of topics. The discussion of each topic may be similarly incomplete. For more complete exposition on these topics consult your textbook and/or instructor. Course materials are currently separated into 5 broad categories. To go directly to the menu for the topic you are interested in, choose from the Quick Search options. Or. . .browse the remainder of this page and see what's available.

## Quick Search

 Looking at Data Relationships Between Variables Producing Data Probability & Introduction to Inference Inference

## Looking at Data

### Description

Types of Variables Terminology used in classifying the nature and use of variables.
Histograms Details of construction.
Boxplots Details of construction.
68-95-99.7 Rule The statement of the 68-95-99.7 rule for normal distributions.
Pictures of Normal Curves A page with nothing but pictures of normal curves. Print the page and use it whenever you solve problems involving normal distributions.
Summary Statistics Computing the median, percentiles, quartiles, interquartile range, mean and standard deviation.
Prediction Intervals How to obtain prediction intervals -- easily the easiest formal statistical method to learn.

## Relationships Between Variables

### Description

Correlation Some plots I used for a talk on correlation. You can first "guess" the correlation; then view the correct answers.
2-way Tables How to display the information in a 2-way cross-classification of categorical data.
Association in 2-Way Tables What it means to say that two categorical variables are "associated."
Anscombe's Data Four data sets, in text form -- to be copied and pasted into a spreadsheet. For each of the four, obtain a linear regression and the correlation. Then compare.

## Probability & Introduction to Inference

### Description

Cumulative Probabilities What they are, how their tabled, and how they relate to probability distributions.
Sampling Distributions for Sample Means The basic results, including the central limit theorem.

## Inference

### Description

Significance Testing A short primer on how a significance test (or hypothesis test -- same thing) proceeds.
Tests of Association in 2-Way Tables Using the Chi-Square test to determine if association exists in a population when data is collected in a 2-way table.
CIs and tests for the mean of a population A short description of the 1-sample inferences when data is quantitative.