Resource Library

This applet generates a histogram for two provided datasets, or by clicking "Edit Data", users can input their own data. Users can also manipulate the axes and bin width.

This applet generates dotplots for different data sets and allows users to guess the location of various measures of center and spread. Clicking "Resample" produces a dotplot of random data generated by the applet. A dotplot of user-input data can be generated by clicking "Edit Data" and typing or copy and pasting the data in the textbox. To guess the mean, median, standard deviation, and interquartile range (IQR) users check the "Guess Mean/Median", "Guess Deviation", or "Guess IQR" box and slide the relevant marker along the horizontal axis. When "Guess Deviation" is selected, users can also select "Show Percentages" to display the percentage of data points within the user's current guess for standard deviation. Clicking "Show Actual" displays the actual position of the selected measure on the dotplot. Clicking on an individual data point shows its value. Users can edit the data under "Edit Data" or by clicking and dragging the data points on the graph.

This applet shows a scatterplot of height versus foot length. Users can add or delete points and then guess the regression line by clicking "Your Line" and moving the blue regression line. By clicking "Regression Line" users can see the actual regression line. The applet also shows the correlation and R-square for the data as well as the residuals and squared residuals for the guessed regression line and the actual regression line.

HotBits is a genuine random number generator powered by radioactive decay. Simply click the "Request HotBits" link, and specify how many bytes you would like (up to 2048) and in what form you prefer them. Hexadecimal returns numbers and letters, while C language returns integers. Then click the "Get HotBits" button, and your random numbers will appear on the screen.

This online textbook covers the following probability and statistics topics: Independence; Venn Diagrams; Bayes's Theorem; Counting; Binomial Expansion; Binomial Distribution; Continuous Distributions; Infinitesimals in Probability; Averaging; Variance; Gaussian Distribution; Random Walks; Correlation; Causation; Linear Regression; Unbiased Estimators; Hypothesis Testing; Shape of the Distribution; Variance of Mean Differences.

This dataset comes from a study of diabetic patients randomly assigned to a two-period crossover design. Patients were given 1 of 2 drug sequences (EN, NE) in each period and blood pressure was recorded. Questions from this study refer to the ability of the drugs to lower blood pressure. A text file version of the data is found in the relation link.

This dataset comes from a study of 8 healthy patients randomly assigned to a two-period crossover design. Patients were given 1 of 2 drug sequences and data on blood plasma levels wer recorded. Questions from this study refer how the drugs affect plasma levels. A text file version of the data is found in the relation link.

This dataset comes from a study of 26 healthy male subjects randomly assigned to a two-period crossover design. Patients were given either Drug A or Drug B, and data on plasma levels were collected. Questions from this study refer the similarity of the drugs. A text file version of the data is found in the relation link.

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.

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.