Resource Library

..the goal is to transform data into information, and information into insight is a quote by American businesswoman Carly Fiorina (1954 - ). The quote was from a December 6, 2004 speech to the Oracle OpenWorld meeting in San Francisco while she was the CEO of Hewlett Packard.

Data is what distinguishes the dilettante from the artist. This is a quote by American author George Vincent Higgins (1939 - 1999). The quote was printed in "The Guardian" on June 17, 1988.

A sketch by Anastasia Mandel reinterpreting "Mont Sainte-Victoire" by Paul Cezanne (1898) with the statistical caption "A skewed distribution, but the same mountain (always look at things from different angles)." This is part of a collection of sketches by Anastasia Mandel and their accompanying statistical captions written by Stan Lipovetsky and Igor Mandel that took first place in the cartoon & art category of the 2009 A-Mu-sing contest sponsored by CAUSE. The collection and their accompanying statistical captions discussed in the paper "How art helps to understand statistics" (Model Assisted Statistics and Applications, 2009) by Stan Lipovetsky and Igor Mandel in volume 4 pages 313-324. Free to use in classrooms and on course websites.

This limerick was written by Columbia University professor of biostatistics, Joseph L. Fleiss (1938 -2003). It was published along with three other limericks by Dr. Fleiss in a letter to the editor of "The American Statistician" (volume 2; 1967, page 49). It was written while he worked as a biostatistician at the Department of Mental Hygiene of the State of New York just prior to receiving his Ph.D. and joining the faculty at Columbia.

A cartoon to review key themes and caveats in introductory statistics. Cartoon by John Landers (www.landers.co.uk) based on an idea from Dennis Pearl (The Ohio State University). Free to use in the classroom and on course web sites.

A cartoon for general use with discussions of election polls. Cartoon by John Landers (www.landers.co.uk) based on an idea from Steve MacEachern (The Ohio State University). Free to use in the classroom and on course web sites.

A cartoon to teach about properties of the Uniform distribution. Cartoon by John Landers (www.landers.co.uk) based on an idea from Pat McCann (Franklin Universiity). Free to use in the classroom and on course web sites.

A cartoon to teach about the Beta distribution. Cartoon by John Landers (www.landers.co.uk) based on an idea from Dennis Pearl (The Ohio State University). The idea for a cartoon series on distributions came from Pat McCann (Franklin Universiity). Free to use in the classroom and on course web sites.

This applet relates the pdf of the Normal distribution to the cdf of the Normal distribution. The graph of the cdf is shown above with the pdf shown below. Click "Move" and the scroll bar will advance across the graph highlighting the area under the pdf in red. The z-score is shown as well as the probability less than z (F(z)) and the probability greater than z (1-F(z)).

This online resource is intended to help students understand concepts from probability and statistics and covers many topics from introductory to advanced. You can follow the progression of the text, or you can click on a topic on the left. Key Words: Alpha Reliability; Analysis of Covariance (ANCOVA); Analysis of Variance (ANOVA); Bayesian Analysis; Bias; Binomial regression; Bonferroni adjustment; Bootstrapping; Categorical modeling; Central limit theorem; Chi-squared test; Clinical significance; Cluster analysis; Coefficient of variation; Confidence Intervals; Contingency Table; Controlled trial; Confounders; Correlation; Dimension reduction; Discriminant function analysis; Frequency; Normal; Poisson; Probability Distribution; Effect; Error; Factor Analysis; Goodness of Fit; Heteroscedasticity; Hypothesis Testing; Independence, Interactions; Kappa Coefficient; Latin Squares; Least Squares Means; Likert scales; Linear Regression; Logistic Regression; Multivariate ANOVA (MANOVA); Mixed Modeling; Multiple Linear Regression; Nonparametric models; Odds ratio; P Values; Path Analysis; Percentiles; Polynomial Regression; Power; PRESS; Probability; Relative Frequency; Repeated Measures; Sample Size; Sampling; Sensitivity; Stepwise regression; Structural equation modeling; T Test; Transformation; Validity.