# Resource Library

#### Statistical Topic

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• ### HyperStat Online: Ch. 4 Introduction to Probability

This chapter of the HyperStat Online Textbook presents six sections on probability including conditional probability, unions, intersections, and the Binomial distribution. A link to exercises for the chapter is available, as well as a link to an applet that demonstrates the approximation of the binomial with a normal distribution (in section 5).
• ### Z-test for difference between means

A slideshow presentation with two good examples on using the Z-test for the difference between two means. Gives some good "plain language" interepretations of what "statistically significant difference" means.
• ### Comparing Two Independent Sample Means

Textbook-like example showing the independent t-test. Gives a nice way for students to think through the problem and interpret results.
• ### One and Two-Tailed t-Tests

Gives a basic explanation with diagrams of the one and two-tailed t-tests.
• ### Two Sample Hypothesis Tests for Proportions

Gives some examples of two sample proportions. Shows how to answer using formulas and minitab.
• ### Boxplot

This activity allows users to create and manipulate boxplots for either built-in data or their own data. Discussion, exercise questions, and lesson plans regarding boxplots are linked to the applet.
• ### Scatter Plot (Engineering Statistics Handbook)

An explanation of scatter plots, their use, purpose and interpretation. It provides examples of the various relationships described by scatter plots as well as case studies and related techniques.
• ### Histogram

This activity allows the user to create and manipulate histograms with built-in or user-specified data, and provides links to discussion and exercise questions. The mean and standard deviation of each data set are also calculated and the bin width of each histogram can be changed by the user.
• ### Independent Group t-Test

This tutorial on the Two Sample t test includes its definition, assumptions, hypotheses, and results as well as tests for equal variance and graphical comparisons. An example using output from the WINKS software is given, but those without the software can still use the tutorial. An exercise is given at the end that can be done with any statistical software package.
• ### Central Limit Theorem

This tutorial illustrates the basic principles of the Central Limit Theorem and enhances conceptual understand of why the Central Limit Theorem is important to inferential statistics.