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  • Statistical Literacy Curriculum Design

    A specially-designed statistical literacy course is needed for college students in majors that don't require statistics or mathematics. This paper suggests that key topics in conditional probability, multivariate regression and the vulnerability of statistical significance to confounding should be included and presents some new ways to teach these ideas.

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  • The First shall be Last

    This article provides the example of student form orders to demonstrate the unreliability of combining data from two different distributions (or subjects).

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  • Making Students Aware of Bias

    The following exercise can illustrate the problem of bias in estimators to students in statistics courses. In some advanced courses an alternative estimator may be presented and properties of this estimator may be investigated via Monte Carlo studies.

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  • Deriving Regression Lines Without Calculus

    This article describes a method to calculate the least squares line algebraically. First, the author uses a numeric example, which uses calculus, then describes a simpler algebraic method.

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  • Blindfold Climbers

    This article, in a series, describes a game, which tests opposing strategies through aspects of experiemental design.

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  • An Illustration of Bootstrapping Using Video Lottery Terminal Data

    The dataset described in this article contains information on 345 plays on an electronic slot machine and the prize for each. This data can be used to illustrate parametric bootstrapping and tests of independence for two and three-way contingency tables involving random zeroes. Key Words: Simulation; Elementary probabilities.

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  • Dataset Example: What Does It Take to Heat a New Room? Estimating Utility Demand in a Home

    This article describes a dataset containing energy use data for single-family homes and monthly weather data in the Boston area over a seven year period. The data can help illustrate concepts like central tendency, dispersion, time series analysis, correlation, simple and multiple regression, and variable transformations. Key Words: measurement; forecasting.

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  • Dataset Example: Using EDA, ANOVA and Regression to Optimise some Microbiology Data

    This article describes a dataset containing information on bacterium culturing. Students can use graphical methods, one-way and two-way ANOVA, and multiple polynomial regression to estimate the optimal conditions for bacteria growth. Key Words: Analysis of variance; Exploratory data analysis; Interactions; Optimisation; Outlier.

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  • Dataset: The "Unusual Episode" Data Revisited

    This article describes a dataset containing information on economic class of passengers and mortality rates from the sinking of the Titanic. The dataset can be used to foster statistical thinking by giving students the data and asking them to determine the source.

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  • Dataset Example: Televisions, Physicians, and Life Expectancy

    This article describes a dataset on life expectancies, densities of people per television set, and densities of people per physician in various countries of the world. The example addresses correlation versus causation and data transformations. Key Word: Prediction.

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