# Resource Library

#### Statistical Topic

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• ### Cartoon: The Scream Revisited

A cartoon that can be helpful in introducing scree plots and their interpretation in an exploratory principal components analysis to determine the number of factors to be used.  The cartoon is arendition of Edvard Munch’s famous painting “The Scream”. The cartoon was used in the January 2019 CAUSE cartoon caption contest and the winning caption was submitted by Larry Lesser from The University of Texas at El Paso. An alternative caption: ﻿"The feeling you get when the p-value is 0.055," was submitted by Minu Bhunia, a student at University of Minnesota, and can be used in discussing the interpretation of p-values and the arbitrary nature of the 0.05 cutoff.The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea by Dennis Pearl from Penn State University.

• ### Data Collection: Statistical Datasets from UMASS

"The purpose of this electronic service is to provide access to a collection of datasets suitable for teaching statistics. The datasets are stored either locally or on other computers throughout the world. The datasets have been organized by statistical technique to make it easier for you to find a dataset appropriate for your pedagogical needs. When a dataset is appropriate for several statistical techniques, it will appear under several categories. Each dataset consists of three files: one is a description of the data; the others are an ascii (text) file of the data and an Excel file of the data."
• ### 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.

• ### Logistic Regression

This presentation is a part of a series of lessons on the Analysis of Categorical Data. This lecture covers the following: maximum likelihood estimation for logistic regression, sample size requirements for approximate normality of the MLE’s, confidence intervals, likelihood ratio statistic, score test statistic, deviance, Hosmer-Lemeshow goodness-of-fit statistic, the Hosmer-Lemeshow statistic, parameter estimates, scaled/unscaled estimates, residuals, grouped binomials, and model building strategies.

• ### Logistic Regression & Common Odds Ratios Part II (with Simulations)

This presentation is a part of a series of lessons on the Analysis of Categorical Data. This lecture covers the following: Mantel-Haenszel estimator of common odds ratio, confounding in logistic regression, univariate/multivariate analysis, bias vs. variance, and simulations.

• ### Association Measures and Variance Estimation

This presentation is a part of a series of lessons on the Analysis of Categorical Data. This lecture covers the following: absolute/relative measures, number needed to treat (NNT), relative risk, odds ratio, the delta method (with a multivariate extension), and a variance covariance matrix.

• ### Penn State STAT 505: Applied Multivariate Statistical Analysis

Those who complete this course will be able to select appropriate methods of multivariate data analysis, given multivariate data and study objectives; write SAS and/or Minitab programs to carry out multivariate data analyses; and interpret results of multivariate data analyses.  Perfect for students and teachers wanting to learn/acquire materials for this topic.

• ### Elementary Statistics with R

This is an e-book tutorial for R. It is organized according to the topics usually taught in an Introductory Statistics course. Topics include: Qualitative Data; Quantitative Data; Numerical Measures; Probability Distributions; Interval Estimation; Hypothesis Testing; Type II Error; Inference about Two Populations; Goodness of Fit; Analysis of Variance; Non-parametric methods; Linear Regression; and Logistic Regression.
• ### Song: It's a MANOVA

A song about Multivariate Analysis of Variance (MANOVA). The lyrics were written by Alan Reifman of Texas Tech University and may be sung to the tune of the 1982 hit "Maneater" by Daryl Hall, John Oates, and Sara Allen. Musical accompaniment realization and vocals are by Joshua Lintz from University of Texas at El Paso.
• ### 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.