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  • Dataset: Multiple vs. Single Dose Comparison

    This dataset comes from a study of 14 healthy subjects given one dose of a drug for seven days. Blood samples were taken before and after treatment, and plasma levels were recorded. Questions from this study refer to the increase in plasma level after treatment. A text file version of the data is found in the relation link.

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  • Dataset: Elderly vs. Young Comparison

    This dataset comes from two studies, one of 16 healthy young subjects and another of 14 healthy elderly subjects, each given a drug in two treatment periods. Blood samples were taken, and plasma levels were recorded. Questions from this study refer to whether age or gender affects plasma level. A text file version of the data is found in the relation link.

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  • Data Collection: Datasets from Drug Research

    This collection of datasets comes from several phases of drug research. Each dataset comes with a full description and questions to answer from the data.

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  • Data Collection: U.S. Retail Gasoline Prices

    This Department of Energy website provides weekly average gasoline prices for several regions, states and cities. The averages are produced from a weekly survey of around 800 retail gasoline stations. The site includes information on data collection methods, survey methodology and historical data.

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  • Dataset Example: Pricing the C's of Diamond Stones

    This article describes a dataset containing information on 308 diamond stones, which is useful when studying concepts in multiple linear regression analysis. Key Words: Categorical variables; Data transformation; Standardized residuals.

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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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  • Dataset Example: Modeling the Reliability of Ball Bearings

    The data presented in this article refer to the reliability of ball bearings in manufacturing. Rather than exploring the data to obtain a multiple linear regression solution, a theoretically derived equation is given and the data is used to test it. Key Words: Failure times; Percentiles; Weighted least squares.

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  • Dataset Example: Pay for Play: Are Baseball Salaries Based on Performance?

    The dataset presented in this article provides the salary and performance data for non-pitchers for the 1992 Major League Baseball season. Exploratory data analysis is used to determine a suitable regression model for the data. Key Words: Model selection and validation; Stepwise model selection.

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  • Dataset Example: Forecasting Computer Usage

    This article presents a dataset containing actual monthly data on computer usage in Best Buy stores from August 1996 to July 2000. This dataset can be used to illustrate time-series forecasting, causal forecasting, simple linear regression, unequal error variances, and variable transformation. Key Words: Model-building; Seasonal Variation.

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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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