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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by Mohammed A. Shayib - Bookboon
The book introduces the concepts, definitions, and terminology of the subject in an elementary presentation with a mathematical background which does not surpass college algebra. It should prepare the reader to make a good decision based on data.
by Hugh D. Young - McGraw Hill
A concise, highly readable introduction to statistical methods. Even with a limited mathematics background, readers can understand what statistical methods are and how they may be used to obtain the best possible results from experimental data.
by Michael Falk at al. - University of Wuerzburg
This book links up elements from time series analysis with a selection of statistical procedures used in general practice including the statistical software package SAS. The book addresses students of statistics, economics, demography, engineering.
by Miguel A. Hernan, James M. Robins - Chapman & Hall/CRC
The book provides a cohesive presentation of concepts of, and methods for, causal inference. It will be of interest to anyone interested in causal inference, e.g., epidemiologists, statisticians, psychologists, economists, sociologists, and others.