First Course in Statistics
by D Caradog Jones
Publisher: G Bell 1921
Number of pages: 288
The book is divided into two parts. Practically all the first part should be well within the understanding of the ordinary person. Part 2 is more mathematical, but an effort has been made throughout to explain results in such a way that the reader shall gain a general idea of the theory and be able to apply it without needing to master all the actual proofs. The whole is meant, not as an exhaustive treatise, but merely as a first course introducing the reader to more serious works, and, since real inspiration is to be found nowhere so surely as at the source, it is intended to encourage and fit him to pursue the subject further by consulting at least the most important original papers referred to in the text, only enough references being given to awaken curiosity.
Home page url
Download or read it online for free here:
The goal of this handbook is to help scientists and engineers incorporate statistical methods in their work as efficiently as possible. Many parts of the book feature case studies or examples with computations from the free downloadable software.
by Keijo Ruohonen - Tampere University of Technology
Table of contents: Fundamental sampling distributions and data descriptions; One- and two-sample estimation; Tests of hypotheses; X2-tests; Maximum likelihood estimation; Multiple linear regression; Nonparametric statistics; Stochastic simulation.
by Stan Brown - BrownMath.com
This book is an alternative to the usual textbooks for a one-semester course in statistics. The author tried to make statistics approachable to anyone with high-school math, but it's still a technical subject. There is very little use of formulas.
by Alex Reinhart - refsmmat.com
This is a guide to the most popular statistical errors and slip-ups committed by scientists every day, in the lab and in peer-reviewed journals. It assumes no prior knowledge of statistics, you can read it before your first statistics course.