Lecture Examples

  • This applet demonstrates the concept of power. Users select the hypothesized mean, the alternative mean, the sample size, and the number of samples. The applet shows the hypothesized histogram and the alternative histogram. Users then select either the level of significance and set alpha or the rejection region and set the test statistic. The applet then shows the p-value (in red) and power (in green). User can also determine the direction of the test by clicking the inequality sign.

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  • This page contains links to 5 review sheets with formulas, properties, definitions and rules for basic descriptive and inferential statistics and probability concepts. The review pages are in pdf format. Key Words: Hypothesis Testing, ANOVA, Descriptive Statistics, Regression, Correlation, Nonparametric Tests, Probability Distributions, Counting, Central Limit Theorem.
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  • This dataset comes from a study of 7 healthy males given a topical medication. Blood samples were collected at specified time intervals, and data on isomer concentrations were collected. Questions from this study refer to the relationship between time and concentration of the isomer. A text file version of the data is found in the relation link.
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  • This dataset comes from a study of 8 healthy males randomly assigned to a two-period crossover design, in which they either fasted and then ate, or ate and then fasted. They were given one dose of a drug, blood samples were collected and data on plasma levels were collected. Questions from this study refer to the absorption of the drug. A text file version of the data is found in the relation link.
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  • This dataset comes from a study of rodents treated with one of 5 or 6 doses of a drug. The proportion of animals that died were recorded. Questions from this study refer to estimating the lethal dosage. A text file version of the data is found in the relation link.
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  • This site contains links to journals on probability and statistics published around the world. "Some publishers require registration to browse abstracts. Others require a current subscription to the journal by you or your institution. Most browsable titles, abstracts and papers are only for the past year or so."
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  • This textbook for medical statistics covers many topics such as: Data display and summary; Mean and standard deviation; Populations and samples; Statements of probability and confidence intervals; Differences between means: type I and type II errors and power; Differences between percentages and paired alternatives; The t tests; The chi-squared tests; Exact probabilty test; Rank score tests; Correlation and regression; Survival analysis; Study design and choosing a statistical test.
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  • 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.
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  • 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.
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  • 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".
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