Educational statisticsHere are entered works on the compilation and study of statistics in the field of education. Collections of these statistics are entered under the appropriate heading with subdivision Statistics, e.g. Education  Massachusetts  Statistics; Harvard University  Statistics; Junior colleges  Statistics. See also what's at your library, or elsewhere.
Broader terms:Used for: Education  Statistical methods

Filed under: Educational statistics
Items below (if any) are from related and broader terms.
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 (Javascriptdependent illustrated HTML at vassarstats.net)
 Statistics Done Wrong: The Woefully Complete Guide (Creative Commonslicensed 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 (framedependent 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: PrenticeHall, 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) (framedependent illustrated HTML at statsoft.com)
 A First Course in Statistical Method (New York and London: McGrawHill 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 (framedependent 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 PishroNik (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.: McGrawHill, 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 YoungSun 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 burnsstat.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 ÇetinkayaRundel, and Leah Dorazio (PDF with commentary at openintro.org)
 CK12 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)More items available under broader and related terms at left. 