Statistics in a nutshell / Sarah Boslaugh.
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|Location||Call Number / Copy Notes||Barcode||Shelving Location||Status||Due Date|
|Starke Co PL - Schricker Main Library (Knox)||519.5 BOS (Text)||30032010601091||ADULT NON-FICTION||Available||-|
- ISBN: 9781449316822 (pbk.) :
- ISBN: 1449316824 (pbk.) :
- Physical Description: xix, 569 pages : illustrations ; 23 cm
- Edition: 2nd ed.
- Publisher: Sebastopol, CA : O'Reilly, 2012.
|Bibliography, etc. Note:||
Includes bibliographical references (pages 513-525) and index.
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|Subject:||Statistics > Problems, exercises, etc.
- Baker & Taylor
An introduction to statistics covers the concepts of measurement and probability theory, correlation, inferential techniques, and statistical analysis.
- Baker & Taylor
A clear and concise introduction and reference for anyone new to the subject of statistics.
- Book News
A grant and proposal writer at Georgia's Kennesaw State University, Boslaugh has worked as a statistician and computer programmer for more than 20 years. This book, she says, is to help people think about and understand statistics rather than to explain how to use a particular computing package or to delve into the mathematical theory behind statistics formulas. The material could be useful for people learning statistics for the first time, or those who know and use statistics already. Among her topics are probability, the t-test, multiple linear regression, medical and epidemiological statistics, and critiquing statistics presented by others. The first edition was published in 2008. Annotation ©2013 Book News, Inc., Portland, OR (booknews.com)
- Ingram Publishing Services
Need to learn statistics for your job? Want help passing a statistics course? Statistics in a Nutshell is a clear and concise introduction and reference for anyone new to the subject. Thoroughly revised and expanded, this edition helps you gain a solid understanding of statistics without the numbing complexity of many college texts.
Each chapter presents easy-to-follow descriptions, along with graphics, formulas, solved examples, and hands-on exercises. If you want to perform common statistical analyses and learn a wide range of techniques without getting in over your head, this is your book.
- Learn basic concepts of measurement and probability theory, data management, and research design
- Discover basic statistical procedures, including correlation, the t-test, the chi-square and Fisher’s exact tests, and techniques for analyzing nonparametric data
- Learn advanced techniques based on the general linear model, including ANOVA, ANCOVA, multiple linear regression, and logistic regression
- Use and interpret statistics for business and quality improvement, medical and public health, and education and psychology
- Communicate with statistics and critique statistical information presented by others