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  • Dataset Example: Data from the Television Game Show "Friend or Foe?"

    This article describes data from the television game show Friend or Foe. The data can be used to determine factors affecting contestants' strategies using descriptive statistics, testing for differences in means or proportions, and regression analysis. Key Words: Discrete choice analysis.

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  • Dataset Example: Simpson's Paradox: An Example From a Longitudinal Study in South Africa

    The dataset presented in this article comes from a South African study of growth of children. This data is a useful example of Simpson's paradox. Key Words: Categorical data; Comparing proportions.

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  • Dataset Example: A Simple Dataset for Demonstrating Common Distributions

    This dataset contains the time of birth, sex, and birth weight for 44 babies born in one 24-hour period at a hospital in Brisbane, Australia. The data can be used for studying some common distributions like the normal, binomial, geometric, Poisson, and exponential.

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  • Statistics at Square One: Differences Between Percentages and Paired Alternatives

    This topic from an online textbook discusses standard error, confidence interval, and significance testing for a difference in percentages or proportions. It also covers paired alternatives and standard error of a total. Exercises and answers are also provided.

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  • DIG Stats: Insulation Activity

    In this activity, students will generate scatterplots and use regression and logarithms to explore a dataset with time and temperature data for an insulation pack. Questions about the exercise are given at the bottom of the page as well as links to instructions for Excel and the TI-83 calculator. The data exists in TI-83 group, Excel, and text formats.

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  • DIG Stats: Graphical Analysis

    This module contains discussions on two and three dimensional graphs, histograms, scatterplots, boxplots, and data visualization, and provides links to a variety of relevant activities.

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  • DAU StatRefresher: Exponential Smoothing

    This interactive tutorial on Exponential Smoothing helps learners understand the use of exponential smoothing, define exponential smoothing, cite the merits and demerits of exponential smoothing, and solve exercise problems using exponential smoothing.

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  • DAU StatRefresher: Multiple Regression

    This tutorial on Multiple Regression helps students understand the definition, use the standard error of estimate, use rank correlation, and solve exercise problems using multiple regression.

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  • Against All Odds: 28. Inference for Proportions

    This free online video program "marks a transition in the series: from a focus on inference about the mean of a population to exploring inferences about a different kind of parameter, the proportion or percent of a population that has a certain characteristic. Students will observe the use of confidence intervals and tests for comparing proportions applied in government estimates of unemployment rates."

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  • Who is Buying iMacs?

    This case study covers the following concepts: confidence intervals for proportions and the normal approximation to the binomial. It also assesses the question: "What proportion of the iMac purchasers are new computer owners?"

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