Practical Business Statistics, Student Solutions Manual (e-only) by Andrew SiegelPractical Business Statistics, Student Solutions Manual (e-only) by Andrew Siegel

Practical Business Statistics, Student Solutions Manual (e-only)

byAndrew Siegel, Andrew Siegel

Other | April 15, 2011

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Practical Business Statistics, Sixth Edition, is a conceptual, realistic, and
matter-of-fact approach to managerial statistics that carefully maintains–but
does not overemphasize–mathematical correctness. The book offers a deep
understanding of how to learn from data and how to deal with uncertainty while
promoting the use of practical computer applications. This teaches present and
future managers how to use and understand statistics without an overdose of
technical detail, enabling them to better understand the concepts at hand and
to interpret results. The text uses excellent examples with real world data
relating to the functional areas within Business such as finance, accounting,
and marketing. It is well written and designed to help students gain a solid
understanding of fundamental statistical principles without bogging them down
with excess mathematical details.
Andrew F. Siegel holds the Grant I. Butterbaugh Professorship in Quantitative Methods and Finance at the Michael G. Foster School of Business, University of Washington, Seattle, and is also Adjunct Professor in the Department of Statistics. His Ph.D. is in statistics from Stanford University (1977). Before settling in Seattle, he held ...
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Title:Practical Business Statistics, Student Solutions Manual (e-only)Format:OtherDimensions:100 pages, 1 × 1 × 1 inPublished:April 15, 2011Publisher:Elsevier ScienceLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0123877229

ISBN - 13:9780123877222

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Table of Contents

Chapter 1. Introduction

Chapter 2. Data Structures

Chapter 3. Histograms

Chapter 4. Landmark Summaries

Chapter 5. Variability

Chapter 6. Probability

Chapter 7. Random Variables

Chapter 8. Random Sampling

Chapter 9. Confidence Intervals

Chapter 10. Hypothesis Testing

Chapter 11. Correlation and Regression

Chapter 12. Multiple Regression

Chapter 13. Report Writing

Chapter 14. Time Series

Chapter 15. ANOVA

Chapter 16. Nonparametrics

Chapter 17. Chi-Squared Analysis

Chapter 18. Quality Control