Medical Statistics at a Glance, by Aviva Petrie and Caroline Sabin, leads the reader through a number of self-contained topics, each covering a different aspect of medical statistics. The majority of these use the standard at a Glance format of two pages per topic.
The authors have provided a basic introduction to the underlying concepts of medical statistics and a guide to the most commonly used statistical procedures. Topics describing a statistical technique are accompanied by a worked example, using real data, illustrating its use. Where possible, the same data set has been used in more than one topic to reflect the reality of data analysis. Detailed and complex hand calculations have been avoided with a concentration on the interpretation of computer data analysis.
Need to know how to build and test models based on data? Intermediate Statistics For Dummies gives you the knowledge to estimate, investigate, correlate, and congregate certain variables based on the information at hand. The techniques you’ll learn in this book are the same techniques used by professionals in medical and scientific fields.
The essential desk reference for every business professional or student.
This easy-to-understand resource explains complex mathematical concepts and formulas and offers clear examples of how they relate to real-world business situations. Featuring practical practice problems to help readers hone their skills, it covers such key topics as working with percents to calculate increases and decreases, using basic algebra to solve proportions, and using basic statistics to analyze raw data. Readers will also find solutions for finance and payroll applications, including reading financial statements, calculating wages and commissions, and strategic salary planning.
Russian-English/English-Russian Dictionary on Probability, Statistics, and Combinatorics
By K. A. Borovkov
Publisher: Society for Industrial Mathematics
Number Of Pages: 162
Publication Date: 1987-01-01
How to Lie with Statistics is Darrell Huff's perennially popular introduction to statistics for the general reader. Written in 1954, it is a brief, breezy, illustrated volume outlining the common errors, both intentional and unintentional, associated with the interpretation of statistics, and how these errors can lead to biased or inaccurate conclusions. Although a number of more recent versions have been released, the original edition contained humorous, witty illustrations by Irving Geis.
