Statistics Beyond the Absolute Basics
by Ivan Lowe
Publisher: scientificlanguage.com 2018
Number of pages: 182
After a review of free statistics programs, and web sources for further study, the book begins by expanding on some of the basic concepts such data types and variables. Great emphasis is put on various easy ways of describing data. This must precede anything more sophisticated. The basic choice then is between the family of statistics which compares groups, and the family which studies associations or correlations. Only then, once these three major areas of statistics are mastered, students are ready for more detail in the choice of statistical test. At this point the old statistics, with its emphasis on significance testing and the null hypothesis is presented, then thoroughly critiqued.
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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 Wolfgang K. Hardle, Leopold Simar - Springer
The authors present multivariate data analysis in a way that is understandable to non-mathematicians and practitioners confronted by statistical data analysis. The book has a friendly yet rigorous style. Mathematical results are clearly stated.
by J.K. Lindsey - Hodder Education Publishers
Written by a renowned statistician, this book presents the basic ideas behind the statistical methods commonly used in studies of human subjects. It is an ideal guide for advanced undergraduates who are beginning to do their own research.
by James E. Gentle - George Mason University
This document is directed toward students for whom mathematical statistics is or will become an important part of their lives. Obviously, such students should be able to work through the details of 'hard' proofs and derivations.