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The humongous book of statistics problems : translated for people who don't speak math!! /

Following the successful, 'The Humongous Books', in calculus and algebra, bestselling author Mike Kelley takes a typical statistics workbook, full of solved problems, and writes notes in the margins, adding missing steps and simplifying concepts and solutions. By learning how to interpret...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Kelley, W. Michael
Otros Autores: Donnelly, Robert A., Jr
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York : Alpha, ©2009.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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245 1 4 |a The humongous book of statistics problems :  |b translated for people who don't speak math!! /  |c by W. Michael Kelly and Robert A. Donnelly, Jr. 
246 3 0 |a Statistics problems 
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500 |a Includes index. 
520 |a Following the successful, 'The Humongous Books', in calculus and algebra, bestselling author Mike Kelley takes a typical statistics workbook, full of solved problems, and writes notes in the margins, adding missing steps and simplifying concepts and solutions. By learning how to interpret and solve problems as they are presented in statistics courses, students prepare to solve those difficult problems that were never discussed in class but are always on exams. -- - An award-winning former math teacher whose website (calculus-help.com) reaches thousands every month, providing exposure for all his books. 
505 0 |a Displaying descriptive statistics -- Calculating descriptive statistics: measures of central tendency -- Calculating descriptive statistics: measures of variation -- Introduction to probability -- Counting principles and probability distributions -- Discrete probability distributions -- Continuous probability distributions -- Sampling and sampling distributions -- Confidence intervals -- Hypothesis testing for a single population -- Hypothesis testing for two populations -- Chi-square and variance tests -- Analysis of variance -- Correlation and simple regression analysis -- Nonparametric tests -- Forecasting -- Statistical process control -- Contextualizing statistical concepts. 
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