Resource Library

This dataset comes from a study of 16 healthy males allocated to 1 of 2 treatment sequences: wafer/tablet or vice versa. Blood samples were taken and plasma levels were recorded. Questions from this study refer to whether the wafer treatment and the tablet treatment are equivalent. A text file version of the data is found in the relation link.

This dataset comes from a study of 16 healthy subjects allocated to 1 of 4 doses of a drug. Blood samples were taken and plasma levels were recorded. Questions from this study refer to the relationship between plasma level and dose. A text file version of the data is found in the relation link.

This dataset comes from a study of 24 healthy subjects allocated to 1 of 4 doses of a drug. Blood samples were taken and plasma levels were recorded. Questions from this study refer to the relationship between plasma level and dose. A text file version of the data is found in the relation link.

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.

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.

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.

This activity uses Microsoft Excel to estimate the population variance of grouped data two ways: the variance within a group and the variance between groups. This activity accompanies Section 7.3 of Data Matters.

This article provides a data collection and analysis activity for illustrating simple linear regression and outlier analysis. The activity was designed to involve students in the process of data collection and to motivate studying the relationship between two quantitative variables. Students collect data on occurrences of letters in English text. These data are used to study the relationships between how often a letter occurs in English text, and: (1) the letter's Morse Code units and (2) the relative frequency of Scrabbleä‹¢ game tiles for the letter. Worksheets and answers to the activities are provided.

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.

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.