E-Book, Englisch, 416 Seiten, E-Book
Anderson Business Statistics For Dummies
1. Auflage 2013
ISBN: 978-1-118-78449-5
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
E-Book, Englisch, 416 Seiten, E-Book
ISBN: 978-1-118-78449-5
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
Score higher in your business statistics course? Easy.
Business statistics is a common course for business majors and MBA candidates. It examines common data sets and the proper way to use such information when conducting research and producing informational reports such as profit and loss statements, customer satisfaction surveys, and peer comparisons.
Business Statistics For Dummies tracks to a typical business statistics course offered at the undergraduate and graduate levels and provides clear, practical explanations of business statistical ideas, techniques, formulas, and calculations, with lots of examples that shows you how these concepts apply to the world of global business and economics.
* Shows you how to use statistical data to get an informed and unbiased picture of the market
* Serves as an excellent supplement to classroom learning
* Helps you score your highest in your Business Statistics course
If you're studying business at the university level or you're a professional looking for a desk reference on this complicated topic, Business Statistics For Dummies has you covered.
Autoren/Hrsg.
Weitere Infos & Material
Introduction 1
Part I: Getting Started with Business Statistics 5
Chapter 1: The Art and Science of Business Statistics 7
Chapter 2: Pictures Tell the Story: Graphical Representations ofData 23
Chapter 3: Finding a Happy Medium: Identifying the Center of aData Set 39
Chapter 4: Searching High and Low: Measuring Variation in a DataSet 55
Chapter 5: Measuring How Data Sets Are Related to Each Other71
Part II: Probability Theory and ProbabilityDistributions 91
Chapter 6: Probability Theory: Measuring the Likelihood ofEvents 93
Chapter 7: Probability Distributions and Random Variables111
Chapter 8: The Binomial, Geometric, and Poisson Distributions121
Chapter 9: The Uniform and Normal Distributions: So ManyPossibilities! 139
Chapter 10: Sampling Techniques and Distributions 165
Part III: Drawing Conclusions from Samples 185
Chapter 11: Confidence Intervals and the Student'st-Distribution 187
Chapter 12: Testing Hypotheses about the Population Mean 201
Chapter 13: Testing Hypotheses about Multiple Population Means233
Chapter 14: Testing Hypotheses about the Population Mean 251
Part IV: More Advanced Techniques: Regression Analysis andForecasting 281
Chapter 15: Simple Regression Analysis 283
Chapter 16: Multiple Regression Analysis: Two or MoreIndependent Variables 309
Chapter 17: Forecasting Techniques: Looking into the Future327
Part V: The Part of Tens 351
Chapter 18: Ten Common Errors That Arise in Statistical Analysis353
Chapter 19: Ten Key Categories of Formulas for BusinessStatistics 361
Index 373