Business statistics and analytics in practice / Bruce L. Bowerman, Anne M. Drougas, William M. Duckworth, [y otros cuatro].

TextLanguage: English Series: Operations and Decision SciencesPublisher: Nueva York : McGraw Hill Education, 2019Copyright date: ©2011Edition: Novena ediciónDescription: xxiii, 906 páginas : ilustraciones, gráficos, fotografías a color ; 28 cmContent type: texto Media type: sin mediación Carrier type: volumenISBN: 9781260187496; 9781260287844Subject(s): Estadística matemática | Distribución (teoría de la probabilidad) | Probabilidades -- Modelos matemáticos | Análisis de varianza | Análisis de regresión -- Modelos matemáticos | Prueba de hipótesis estadística | Estadística no paramétrica -- Modelos matemáticosDDC classification: 519.5

Contents:

Chapter 1. An introduction to business statistics and analytics ; Chapter 2. Descriptive statistics and analytics: tabular and graphical methods ; Chapter 3. Descriptive statistics and analytics: numerical methods ; Chapter 4. Probability and probability models ; Chapter 5. Predictive analytics I: trees, k-Nearest Neighbors, Naive Bayes', and ensemble estimates ; Chapter 6. Discrete random variables ; Chapter 7. Continouns random variables ; Chapter 8. Sampling distributions ; Chapter 9. Confidence intervals ; Chapter 10. Hypothesis testing ; Chapter 11. Statistical inferences based on two samples ; Chapter 12. Experimental design and analysis of variance ; Chapter 13. Chi-square test ; Chapter 14. Simple linear regression analysis ; Chapter 15. Multiple regression and model building ; Chapter 16. Predictive analytics II: logistic regresssion, dicriminate analysis, and neural networks ; Chapter 17. Time series forecasting and index numbers ; Chapter 18. Nonparametric methods ; Chapter 19. Decision theory ; Chapter 20. (Online) Process improvement using control charts for website .

Abstract: Business Statistics and Analytics in Practice, provides a unique and flexible framework for teaching the introductory course in business statistics. This framework consists of a complete presentation of traditional business statistics, with improved discussions of introductory concepts, probability modeling, classical statistical inference, and regression and time series modeling. A complete presentation of business analytics, with topic coverage in six optional sections and two optional chapters. Continuing case studies that facilitate student learning by presenting new concepts in the context of familiar situations and many new exercises and use of excel. editor.

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Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode	Item holds
Libros	Biblioteca CESA Diagonal 34 A No. 5 A - 23 Casa Incolda PBX: 339 53 00 serviciosbiblioteca@cesa.edu.co Piso 1	General	519.5 / B979 2019 (Browse shelf(Opens below))	Ej.1	Available (Sin restricciones)		7109101189

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Business Statistics and Analytics in Practice, provides a unique and flexible framework for teaching the introductory course in business statistics. This framework consists of a complete presentation of traditional business statistics, with improved discussions of introductory concepts, probability modeling, classical statistical inference, and regression and time series modeling. A complete presentation of business analytics, with topic coverage in six optional sections and two optional chapters. Continuing case studies that facilitate student learning by presenting new concepts in the context of familiar situations and many new exercises and use of excel. editor.

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