Statistics At Square One

Download Statistics At Square One PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Statistics At Square One book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Statistics at Square One

Author: Michael J. Campbell
language: en
Publisher: John Wiley & Sons
Release Date: 2011-08-24
The new edition of this international bestseller continues to throw light on the world of statistics for health care professionals and medical students. Revised throughout, the 11th edition features new material in the areas of relative risk, absolute risk and numbers needed to treat diagnostic tests, sensitivity, specificity, ROC curves free statistical software The popular self-testing exercises at the end of every chapter are strengthened by the addition of new sections on reading and reporting statistics and formula appreciation.
OpenIntro Statistics

The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. We feature real data whenever possible, and files for the entire textbook are freely available at openintro.org. Visit our website, openintro.org. We provide free videos, statistical software labs, lecture slides, course management tools, and many other helpful resources.
First (and Second) Steps in Statistics

First (and Second) Steps in Statistics, Second Edition provides a clear and concise introduction to the main statistical procedures used in the psychological and social sciences. The rationale and procedure for analyzing data are presented through exciting examples, with an emphasis on understanding rather than computation. It is ideally suited for introductory courses in statistics. In addition to descriptive statistics, graphs, t tests, one way ANOVAs, Chi-square, and simple linear regression, this second edition includes factorial ANOVA and multiple regression. Emphasis is given to tests of median and other robust methods.