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Even you can learn statistics : a guide for everyone who has ever been afraid of statistics /

"One easy step of a time, this book will teach you the key statistical techniques you'll need for finance, quality, marketing, the social sciences, or just about any other field. Each technique is introduced with a simple, jorgon-free explanation, practical examples, and hands-on guidance...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Levine, David M., 1946-
Otros Autores: Stephan, David
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Upper Saddle River, NJ : Pearson/Prentice Hall, ©2005.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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245 1 0 |a Even you can learn statistics :  |b a guide for everyone who has ever been afraid of statistics /  |c David M. Levin, David F. Stephan. 
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520 1 |a "One easy step of a time, this book will teach you the key statistical techniques you'll need for finance, quality, marketing, the social sciences, or just about any other field. Each technique is introduced with a simple, jorgon-free explanation, practical examples, and hands-on guidance for solving real problems with Excel or a TI-83/84 series calculator, including Plus models. Hate math? No sweat. You'll be amazed how little you need! For those who do have an interest in mathematics, optional "Equation Blackhoard" sections review the equations that provide the foundations for important concepts. Book jacket."--Jacket. 
533 |a Electronic reproduction.  |b [S.l.] :  |c HathiTrust Digital Library,  |d 2010.  |5 MiAaHDL 
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583 1 |a digitized  |c 2010  |h HathiTrust Digital Library  |l committed to preserve  |2 pda  |5 MiAaHDL 
505 0 |a Fundamentals of statistics -- Presenting data in charts and tables -- Descriptive statistics -- Probability -- Probability distributions -- Sampling distributions and confidence intervals -- Fundamentals of hypothesis testing -- Hypothesis testing : Z and t tests -- Hypothesis testing : chi-square tests and the one-way analysis of variance (ANOVA) -- Simple linear regression -- Multiple regression -- Quality and Six Sigma applications of statistics. 
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