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....

Students explore an interactive tutorial on testing hypothesis and then practice their knowledge by attempting ten questions that increase in difficulty level.

A note about paired t-tests within a larger article dealing with hypothesis testing.

After observing the local aquatic environment and testing the water quality, students formulate a testable hypothesis. They next choose a second location, collect samples to bring to school, and test the water quality. Data is organized...

[Free Registration/Login may be required to access all resource tools.] Using observations and scientific experiments to test hypotheses.

This set contains questions about statistics regarding one- and two-sample t-distributions. The student learns to develop hypotheses, find the test statistic, and reach a conclusion in the context of the original problem.

In this activity students will be given three rocks representing the three main rock types in the rock cycle. They will make observations on those rocks and develop a hypothesis on how each rock formed. We will meet as a class and...

This resource provides interactive visualizations of probability concepts. Covers basic probability, compound probability, probability distributions, frequentist inference, Bayesian inference, and regression analysis. The authors are...