# One Numerical Variable

• ### Analysis Tool: "Statistics to Use" Calculators/Applet

This collection of calculators allows users to perform a number of statistical applications. Each provides background on the procedure and an example. Users can compute Descriptive Statistics and perform t-tests, Chi-square tests, Kolmogorov-Smirnov tests, Fisher's Exact Test, contingency tables, ANOVA, and regression.

• ### Outliers

A short discussion of what outliers are and their helpfulness in analyzing data.
• ### Learning Objectives for Introductory Statistics

This text document lists detailed learning objectives for introductory statistics courses. Learning objectives are brief, clear statements of what learners will be able to perform at the end of a course. These objectives were developed for a one semester general education introductory statistics course. The objectives cover the broad categories of Graphics, Summary Statistics, The Normal Distribution, Correlation and Scatterplots, Introduction to Regression, Two way Tables, Data Collection and Surveys, Basic Probability, Sampling Distributions, Confidence Intervals, Tests of Hypothesis, and T-distributions.
• ### Data Collection:US Census Bureau: Census 2000 Datasets

Users can select from detailed tables and geographical comparison tables to generate data from the 2000 Census.
• ### Joke: Walking into a bar

an old "walks into a bar" joke with a statistics twist.

• ### A Tutorial on Mathematical Modeling

This general, introductory tutorial on mathematical modeling (in pdf format) is intended to provide an introduction to the correct analysis of data. It addresses, in an elementary way, those ideas that are important to the effort of distinguishing information from error. This distinction constitutes the central theme of the material described herein. Both deterministic modeling (univariate regression) as well as the (stochastic) modeling of random variables are considered, with emphasis on the latter. No attempt is made to cover every topic of relevance. Instead, attention is focussed on elucidating and illustrating core concepts as they apply to empirical data.

• ### Testosterone and Antisocial Behavior

This set of exercises asks students to model relationships and test them based on the chi-square distribution. The data used is based on testosterone levels and delinquency rate of American military men.
• ### Sexual Activity

This page provides survey data on the sexual activity of male and female subjects and discusses choosing appropriate statistics to describe the data as well as reporting bias. It also links to a Chance article about the same study.
• ### Data Collection+Applets: Fundamental Statistics for the Behavioral Sciences

This website provides data files, examples, guides that are referenced in David Howell's textbook published in 2013. There is also a student manual and links to other useful websites.
• ### Dataset: Rock Fries Your Brains

This exercise uses descriptive statistics to analyze a data set about how rats respond to rock music vs. classical music.