Provides a detailed look at hypothesis testing. The topic is defined and discussed, important points to know about the topic are presented, and finally the "model" is looked at. An easy-to-understand explanation.

Show that you have mastery over the idea behind hypothesis testing by calculating some probabilities and drawing conclusions. Students receive immediate feedback and have the opportunity to try questions repeatedly, watch a video or...

The necessary vocabulary from Richland Community College for statistical hypothesis testing is provided here. After viewing the vocabulary, click the link returning the user to the Table of Contents to see the rest of the Chapter 9 notes...

High level detailed steps including null hypothesis, alternative hypothesis, significance level, statistics, probability value and statistical significance.

This set covers the logic of significance/hypothesis tests. Students decide whether a one- or two-tailed test is appropriate. They also decide, by comparing the p-value to the alpha level, whether statistically significant evidence exists.

Site explains what one-tail and two-tail hypothesis testing are. Includes graphs to aid in understanding.

A good description of hypothesis testing. Refers to the null hypothesis as a "straw man" that is either left standing or knocked down. Other links are provided to related parts of the topic.

A page from the university's statistics site which builds on the standard errors from the Central Limit Theorem previously explained. Here hypothesis testing is defined and validated.

Look at the results of different experiments, and determine if they are statistically significant. Students receive immediate feedback and have the opportunity to try questions repeatedly, watch a video or receive hints.

[Free Registration/Login may be required to access all resource tools.] Learn the steps of how to test hypotheses.

Explains what the null and alternative hypotheses are and how these are used when beginning a hypothesis test. Includes examples and exercises.

[Free Registration/Login may be required to access all resource tools.] This Concept introduces students to testing a claim about a proportion.

[Free Registration/Login may be required to access all resource tools.] Learn the steps of how to test hypotheses.

Test the single mean hypothesis in this exercise.

[Free Registration/Login may be required to access all resource tools.] This Concept uses the t-distribution to test hypotheses for two samples.

[Free Registration/Login may be required to access all resource tools.] This Concept demonstrates the process of hypothesis testing, using both test statistics and p-values. It also explains type I and II errors.

[Free Registration/Login may be required to access all resource tools.] This Concept introduces students to developing the null and alternative hypotheses.

[Free Registration/Login may be required to access all resource tools.] This study guide summarizes key points about the scientific method and hypotheses.

[Free Registration/Login may be required to access all resource tools.] This Concept demonstrates how to test a claim about a mean.

Based off of the hit television show NUMB3RS, this lesson has students examine cancer rates in population samples of the New England states to determine if the states' cancer rates are statistically similar. Hypothesis testing is...

Based off of the hit television show NUMB3RS, this lesson introduces students to the chi-squared statistical analysis. Although not completely in depth, the lesson does expose students to degrees of freedom, a simple chi-squared formula,...

The statistics resource consists of links to interactive programs that explore introductory statistics concepts. Topics include hypothesis tests, p-value, and analysis of variance.

[Free Registration/Login may be required to access all resource tools.] This Concept introduces students to testing a claim about linear regression.

In this experiment you will attempt to reproduce Galileo's results using the inclined plane. You will test three hypotheses relating to motion on an incline. You will learn to draw a "best fit" or regression line of experimental data....