
APPLIED STATISTICS IN BUSINESS AND ECONOMICS 7ED
David P. Doane y Lori E. Seward
Editorial: McGraw-Hill Higher Education
Edición: 7
Fecha Publicación: 2021
ISBN: 9781260597646
ISBN ebook: 9781264360956
Páginas: 867
Grado: Universitario
Área: Economía y Empresa
Sección: Estadística y Matemáticas
Idioma: Inglés
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Edición: 7
Fecha Publicación: 2021
ISBN: 9781260597646
ISBN ebook: 9781264360956
Páginas: 867
Grado: Universitario
Área: Economía y Empresa
Sección: Estadística y Matemáticas
Idioma: Inglés
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Chapter 1. Overview of Statistics
Chapter 2. Data Collection
Chapter 3. Describing Data Visually
Chapter 4. Descriptive Statistics
Chapter 5. Probability
Chapter 6. Discrete Probability Distributions
Chapter 7. Continuous Probability Distributions
Chapter 8. Sampling Distributions and Estimation
Chapter 9. One-Sample Hypothesis Tests
Chapter 10. Two-Sample Hypothesis Tests
Chapter 11. Analysis of Variance
Chapter 12. Simple Regression
Chapter 13. Multiple Regression
Chapter 14. Time-Series Analysis
Chapter 15. Chi-Square Tests
Chapter 16. Nonparametric Tests
Chapter 17. Quality Management
Chapter 18. Simulation
Appendixes
Index
Standard Normal Areas
Cumulative Standard Normal Distribution
Students t Critical Values
*La edición digital no incluye códigos de acceso a material adicional o programas mencionados en el libro.
Applied Statistics in Business and Economics, 7th edition, provides real meaning to the use of statistics in the real world by using real business situations and real data while appealing to students who want to know the why rather than just the how. The text emphasizes thinking about data, choosing appropriate analytic tools, using computers effectively, and recognizing the limitations of statistics. It motivates student learning through applied current exercises and cases that provide real-world relevance and includes analytics in action, careers, and applications of big data, Artificial Intelligence, and machine learning (including ethical issues).
Oakland University
Lori E. Seward
University of Colorado
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