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  • Two Sample Hypothesis Tests for Proportions

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

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  • 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.

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  • 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.

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  • 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.

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  • 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.

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  • 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.

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  • **The t-test Tutorial: Comparing Cultures

    This tutorial takes the learner step-by-step in applying descriptive and inferential statistics using a real world situation.

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  • Using Data and Statistics

    This site addresses mean, median, mode, bar graphs, pie charts, and line graphs. Each topic has multiple examples with related discussion.

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  • Normal Distribution (Engineering Statistics Handbook)

    This section of the Engineering Statistics Handbook gives the normal probability density function as well as the standard normal distribution equations. Example graphs of the distributions are shown and a justification of the Central Limit Theorem is included.

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  • New Confidence Interval Applet

    This simulation applet shows groups of confidence intervals for a given alpha based on a standard normal distribution. It shows how changes in alpha affect the proportion of confidence intervals that contain the mean. An article and an alternative source for this applet can be found at http://www.amstat.org/publications/jse/v6n3/applets/confidenceinterval.html.

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