StatisticsUse as a topical subdivision under names of countries, cities, etc., and under individual corporate bodies, classes of persons, ethnic groups, and topical headings for works about statistics on those subjects. See also what's at Wikipedia, your library, or elsewhere.
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Filed under: Statistics- Introductory Statistics (electronic edition, c2018), by Barbara S. Illowsky and Susan L. Dean (illustrated HTML and PDF with commentary at openstax.org)
- Concepts and Applications of Inferential Statistics (electronic edition, c2015), by Richard Lowry (Javascript-dependent illustrated HTML at vassarstats.net)
- Statistics Done Wrong: The Woefully Complete Guide (Creative Commons-licensed online edition, c2013), by Alex Reinhart (illustrated HTML with commentary at refsmmat.com)
- Introduction to Statistical Thought (multiple languages; c2005), by Michael Lavine (PDF files with commentary at umass.edu)
- Introductory Statistics: Concepts, Models, and Applications (free online edition, revised 1998), by David Stockburger (frame-dependent illustrated HTML with commentary at Missouri State)
- Statistical Methods Applied to Experiments in Agriculture and Biology (fourth edition; Ames, IA: Iowa State College Press, c1946), by George W. Snedecor (page images at HathiTrust)
- An Introduction to Statistical Learning, With Applications in R (corrected first edition and second edition; 2017 and 2021), by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani (PDF with commentary at statlearning.com)
- Applied General Statistics (New York: Prentice-Hall, 1940), by Frederick Emory Croxton and Dudley J. Cowden (page images at HathiTrust)
- Elements of Statistics; With Application to Economic Data (second edition; Bloomington, IN: Principia Press, c1937), by Harold T. Davis and W. F. C. Nelson (page images at HathiTrust; US access only)
- Calculation and Interpretation of Analysis of Variance and Covariance (ca. 1934), by George W. Snedecor (page images at HathiTrust)
- Introduction to Data Science (version 3; c2013), by Jeffrey M. Stanton, contrib. by Robert W. De Graaf (PDF with commentary at Syracuse)
- Statistics for the Social and Behavioral Sciences (c1987), by David A. Kenny (PDF at davidakenny.net)
- Electronic Statistics Textbook, by StatSoft (Firm) (frame-dependent illustrated HTML at statsoft.com)
- A First Course in Statistical Method (New York and London: McGraw-Hill Book Co, 1925), by George Irving Gavett (page images at HathiTrust)
- A New View of Statistics (electronic edition, with external links), by Will G. Hopkins (frame-dependent illustrated HTML at sportsci.org)
- Statistical Methods for Research Workers (Edinburgh and London: Oliver and Boyd, 1925), by Ronald Aylmer Fisher (page images at HathiTrust; US access only)
- On the Principles of Statistical Inference: Four Lectures Delivered at the University of Notre Dame, February 1941 (Notre Dame Mathematical Lectures #1; c1942), by Abraham Wald (PDF files at Project Euclid)
- Introduction to Probability, Statistics and Random Processes (electronic edition, with videos and interactive calculators), by Hossein Pishro-Nik (HTML and PDF files with commentary at probabilitycourse.com)
- Learning Statistics With R, by Danielle Navarro (multiple formats with commentary at learningstatisticswithr.com)
- Probability and Statistics EBook, by SOCR (Project) (illustrated HTML at UCLA)
- Engineering Statistics and Quality Control (New York et al.: McGraw-Hill, 1953), by Irving W. Burr (page images at HathiTrust)
- Dynamic Economics: Theoretical and Statistical Studies of Demand, Production and Prices (Cowles Foundation monograph #1; Bloomington, IN: Principia Press, 1934), by Charles Frederick Roos (page images at HathiTrust)
Filed under: Statistics -- Computer programs
Filed under: Statistics -- Data processing- Statistical Inference via Data Science: A ModernDive into R and the Tidyverse (Creative Commons online edition, 2021), by Chester Ismay and Albert Young-Sun Kim (illustrated HTML with commentary at moderndive.com)
- An Introduction to R: Notes on R, A Programming Environment for Data Analysis and Graphics (electronic edition, 2008), by W. N. Venables, D. M. Smith, and R Development Core Team
- The R Inferno (2011), by Patrick Burns (PDF with commentary at burns-stat.com)
- Introduction to Data Science: Data Analysis and Prediction Algorithms With R (Creative Commons online edition, 2021), by Rafael A. Irizarry (illustrated HTML with commentary at github.uio)
Filed under: Statistics -- Graphic methods
Filed under: Statistics -- Methodology
Filed under: Statistics -- Periodicals
Filed under: Statistics -- Study and teaching
Filed under: Statistics -- Textbooks- Advanced High School Statistics (2018), by David M. Diez, Christopher D. Barr, Mine Çetinkaya-Rundel, and Leah Dorazio (PDF with commentary at openintro.org)
- CK-12 Advanced Probability and Statistics (second edition, c2014), by Raja Almukkahal, Danielle DeLancey, Ellen Lawsky, Brenda Meery, and Larry Ottman (PDF at nclor.org)
Filed under: Biometry
Filed under: Correlation (Statistics)
Filed under: Educational statistics
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