Resource Library

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.

The datasets in this collection are in text format, but are also compatible with Arc software from "Regression Graphics." Each set has a title, description, and data table. The software is available in the relation link below.

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.

This tutorial provides a basic introduction to many topics in statistics and probability. Topics include: Sets and subsets, Statistical experiments, Counting, Basic probability rules, Bayes' theorem, Probability distributions, Discrete vs. Continuous, Binomial, Negative Binomial, Hypergeometric, Multinomial, Poisson, Normal, Sampling theory, Central tendency, Variability, Sampling distributions, t Distribution, Chi-Square Distribution, F Distribution, Estimation problems, Hypothesis testing, Power, Survey sampling, Simple random samples, Stratified samples, Cluster samples, Sample size.

As discussed, the murder rates for Blacks in the United States are substantially higher than those for Whites, with Latino murder rates falling in the middle. These differences have existed throughout the 20th and into the 21st century and, with few exceptions, are found in different sections of the United States. Although biological and genetic explanations for racial differences in crime rates, including murder, have been discredited and are no longer accepted by most criminologists, both cultural and structural theories are widespread in the literature on crime and violence. It is also important to remember that Latino is an ethnic rather than a racial classification. The point of this exercise is to examine differences in selected structural positions of Blacks, Whites and Latinos in the United States that may help explain long-standing differences in their murder rates.

This dataset comes from a study of 10 mice treated with one of 3 doses of a drug. Bone marrow cells were examined and the number of sister chromatid exchanges was recorded for each mouse. Questions from this study refer to the relationship between dosage and chromatid exchange. A text file version of the data is found in the relation link.

This dataset comes from a study of 23 healthy male subjects in a five period crossover study. Each subject followed a randomly allocated sequence of five treatments. Blood samples were collected and serum ethanol levels were recorded. Questions from this study refer to the drug-alcohol interaction. A text file version of the data is found in the relation link.

This dataset comes from a study of 22 female subjects randomly allocated to 1 of 2 oral contraceptive treatment sequences in a 2 period crossover design. Blood samples were collected at specific time intervals and plasma levels were recorded. Questions from this study refer to the interaction of the two treatments. A text file version of the data is found in the relation link.

This dataset comes from a study of 184 patients with severe erosive esophagitis were allocated to one of two treatments. Costs and efficacy of the drugs were recorded. Questions from this study refer to differences in cost of the two treatments. A text file version of the data is found in the relation link.

This dataset comes from a study of female rats allocated to 1 of 4 doses of a drug, and then impregnated by similarly treated males. The pups were tested for developmental signs. Questions from this study refer to the relationship between pup response and dosage. A text file version of the data is found in the relation link.