Resource Library

Statistical Topic

Advanced Search | Displaying 291 - 300 of 528
  • This dataset comes from a study of 48 hypertensive patients given one of 3 doses of one drug and one dose of another drug. Questions from this study refer to associations and relationships between the drugs. A text file version of the data is found in the relation link.
    0
    No votes yet
  • This dataset comes from a study of 16 healthy subjects randomly assigned to one of two treatment sequences in a two period crossover design. Treatments were from two different drug companies. Questions from this study refer to the similarities of the two treatments. A text file version of the data is found in the relation link.
    0
    No votes yet
  • This dataset comes from a study of 100 female mice treated with one of 3 doses of a drug, and then impregnated by untreated males. The fetuses were examined for skeletal malformations. Questions from this study refer to the relationship between affected fetuses and dosage. A text file version of the data is found in the relation link.
    0
    No votes yet
  • This applet allows students to explore three methods for measuring "goodness of fit" of a linear model. Users can manipulate both the data and the regression line to see changes in the square error, the absolute error, and the shortest distance from the data point to the regression line.
    0
    No votes yet
  • This lesson poses a series of questions designed to challenge students' possible misconceptions of statistical inference and hypothesis testing. The lesson uses the statistical software, Fathom, and three datasets with information on the number of chips per canister distributed by a snack maker. The data can found at the relation address below.
    0
    No votes yet
  • This page provides a table for selecting an appropriate statistical method based on type of data and what information is desired from the data. It also compares parametric and nonparametric tests, one-sided and two-sided p-values, paired and unpaired tests, Fisher's test and the Chi-square test, and regression and correlation. It comes from Chapter 37 of the textbook, "Intuitive Biostatistics".
    0
    No votes yet
  • 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.
    0
    No votes yet
  • This Flash based applet simulates data from a case study of treatments for tumor growth in mice. This simulation allows the user to place mice into a control and treatment groups. The simulation then compares the difference in the groups based on this haphazard selection to those of a truly random assignment (the user may also create multiple random assignments and examine the sampling distribution of key statistics). The applet may be used to illustrate three points about random assignment in experiments: 1) how it helps to eliminate bias when compared with a haphazard assignment process, 2) how it leads to a consistent pattern of results when repeated, and 3) how it makes the question of statistical significance interesting since differences between groups are either from treatment or by the luck of the draw. In this webinar, the activity is demonstrated along with a discussion of goals, context, background materials, class handouts, and assessments. Key Note for Instructors: The data are drawn from a real experiment with an effective treatment but where the response is correlated with animal age and size (so tumor size will tend to be smaller in the treatment group when measured at the end of a randomized experiment but animal age and size should not be). Typically people choosing haphazardly will tend to pick larger/older animals for the treatment group and thus create a bias against the treatment.
    0
    No votes yet
  • This project examines the randomness of clusters using the Poisson Distribution. Using Microsoft Excel, the activity simulates the bombs of London and examines the occurences per cell to estimate lambda.
    0
    No votes yet
  • This program allows the student to explore the nature of sampling distributions of sample means and sample proportions. The software provides separate windows for building population distributions, drawing and viewing random samples from the population, exploring the behavior of sampling distributions of sample means, and exploring the behavior of confidence intervals.
    0
    No votes yet

Pages