Multivariate Techniques

• Quote: Cunliffe on Statistical Consulting

...no good statistician existed unless he, or she, had been so involved in practical experimentation that they appreciated and understood the problems of the experimenter, the process worker, the farmer and the laboratory assistant. is a quote of British applied statistician Stella V. Cunliffe (1917 - 2012). The quote comes from her Presidential address on November 12, 1975 to the Royal Statistical Society (she was the first women to hold the position). The full presentation can be found in "JRSS series A" vol 139 p. 1-19 and contains many interesting examples from her years working at Guiness Brewery and for the government at the Home Office.
• Gallery: Reinterpreting Gustave Caillebotte

A sketch by Anastasia Mandel reinterpreting "Fruit Displayed on a Stand" by Gustave Caillebotte (1882) with the statistical caption "Cluster analysis: apples to apples, nuts to nuts - a statistician's dream." 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.
• Why Use Multiple Comparison Tests?

This page discusses the proper procedures for multiple comparison tests and reasons behind them.
• Index to Statistics Tutorials

This collection of tutorials covers many statistical applications such as Pearson's Correlation Coefficient, Simple Linear Regression, One and Two Sample t-tests, Paired t-test, One-way Analysis of Variance (ANOVA), Mann-Whitney Test, Kruskal-Wallis Test, Friedman's Test, Interpreting p-values, Comparing two groups, Parametric and Nonparametric analyses, and Multiple Comparisons. The tutorials refer to the WINKS statistical software program, but they are useful for those who do not have access to WINKS.
• Song: Natural Log

Song about the use of the logarithmic transformation in statistics. May be sung to the tune of "Hound Dog" which was popularized by Elvis Presley. Lyrics written by Dennis Pearl with assistance from Deb Rumsey. Musical accompaniment realization and vocals are by Joshua Lintz from University of Texas at El Paso.

• Regression, Prediction, and Model Building

This tutorial explains the theory and use of Multiple Regression and demonstrates it with an example on SAT scores and GPA. Data is given as well as SPSS and Minitab code.
• An Introduction to Probability

This tutorial introduces the basic concepts of probability using various examples. Topics include interpreting probability, calibration experiments, interpreting odds, sample space, basic rules, equally likely outcomes, constructing probability tables, unions and complements, mean, and two-way probability tables. A link to activities is also given.
• Multiple Regression

This resource explains Multiple Regression and concepts associated with it. Key Words: Predicted values; Residuals; Dummy Variables; Interaction Effects; T-Test; Regression Coefficients; Correlation; Partial Correlation; R-Squared; Adjusted R-Squared; Multicollinearity; Variance-Inflation Factors; Transformation; Cook's Distance; Validity; Durbin-Watson Coefficient.
• Exploring Relationships in Body Dimensions

This article presents a dataset containing physical measurements for 507 physically active individuals. These data can be used to demonstrate simple descriptive statistics, least squares and multiple regression, or discriminant and classification analysis. The data are in .dat format.
• Teaching Statistics with Data of Historic Significance: Galileo's Gravity and Motion Experiments

This article describes Galileo's data on falling bodies and projectiles and its use as an aid in teaching polynomial and nonlinear regression. Key Words: Independent and dependent variables; Graphical analysis.