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|a 1449316824
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4 |
|a QA276.12
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|a Boslaugh, Sarah
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|a Statistics in a nutshell
|c Sarah Boslaugh
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| 250 |
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|a 2nd ed
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| 260 |
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|a Beijing
|b O'Reilly Media
|c 2012
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| 300 |
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|a 1 volume
|b illustrations
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| 505 |
0 |
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|a Basic concepts of measurement -- Probability -- Inferential statistics -- Descriptive statistics and graphic displays -- Categorical data -- The t-test -- The Person correlation coefficient -- Introduction to regression and ANOVA -- Factorial ANOVA and ANCOVA -- Multiple linear regression -- Logistic, multinomial, and polynomial regression -- Factor analysis, cluster analysis, and discriminant function analysis -- Nonparametric statistics -- Business and quality improvement statistics -- Medical and epidemiological statistics -- Educational and psychological statistics -- Data management -- Research design -- Communicating with statistics -- Critiquing statistics presented by others
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|a Includes bibliographical references and index
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| 653 |
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|a Statistique / Problèmes et exercices
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| 653 |
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|a Statistics / http://id.loc.gov/authorities/subjects/sh85127580
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| 653 |
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|a Statistics / fast
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| 653 |
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|a statistics / aat
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| 653 |
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|a Statistique
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| 653 |
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|a Statistics / Problems, exercises, etc
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| 041 |
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|a eng
|2 ISO 639-2
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| 989 |
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|b OREILLY
|a O'Reilly
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| 490 |
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|a In a nutshell
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| 776 |
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|z 9781449316822
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| 856 |
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|u https://learning.oreilly.com/library/view/~/9781449361129/?ar
|x Verlag
|3 Volltext
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|a 519.5
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|a 519.5
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| 520 |
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|a 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
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