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Disponibilidad: En existencia
ISBN: 9781292099736
Precio sin IVA:
$ 132.300,00

Edición: 10
Copyright: 2017
Páginas: 856

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Introductory Statistics: Global Edition (ebook)


By Neil A. Weiss

Descripción:

Weiss’s Introductory Statistics, is the ideal textbook for introductory statistics classes that emphasize statistical reasoning and critical thinking. Comprehensive in its coverage, Weiss’s meticulous style offers careful, detailed explanations to ease the learning process. With more than 1,000 data sets and over 3,000 exercises, this text takes a data-driven approach that encourages students to apply their knowledge and develop statistical understanding. This text contains parallel presentation of critical-value and p-value approaches to hypothesis testing. This unique design allows the flexibility to concentrate on one approach or the opportunity for greater depth in comparing the two.   The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.




Contenido:
Chapter 1 The Nature of Statistics
Chapter 2 Organizing Data
Chapter 3 Descriptive Measures
Chapter 4 Probability Concepts
Chapter 5 Discrete Random Variables*
Chapter 6 The Normal Distribution
Chapter 7 The Sampling Distribution of the Sample Mean
Chapter 8 Confidence Intervals for One Population Mean
Chapter 9 Hypothesis Tests for One Population Mean
Chapter 10 Inferences for Two Population Means
Chapter 11 Inferences for Population Standard Deviations*
Chapter 12 Inferences for Population Proportions
Chapter 13 Chi-Square Procedures
Chapter 14 Descriptive Methods in Regression and Correlation
Chapter 15 Inferential Methods in Regression and Correlation
Chapter 16 Analysis of Variance (ANOVA)