Business Statistics: Communicating with Numbers - Sanjiv Jaggia

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Résumé :
Overview: The second edition of Business Statistics: Communicating with Numbers provides a unique, innovative, and engaging learning experience for students studying Business Statistics. It is an intellectually stimulating, practical, and visually attractive textbook, from which students can learn and instructors can teach. Throughout the book, the authors have presented the material in an accessible way by using timely business applications to which students can relate. Although the text is application-oriented, it is also mathematically sound and uses notation that is generally accepted for the topic being covered.

Biographie:
Sanjiv Jaggia is a professor of economics and finance at California Polytechnic State University in San Luis Obispo. Dr. Jaggia holds a Ph.D. from Indiana University and is a Chartered Financial Analyst (CFA??). He enjoys research in statistics and econometrics applied to a wide range of business disciplines. Dr. Jaggia has published several papers in leading academic journals and has co-authored two successful textbooks in business statistics. His ability to communicate in the classroom has been acknowledged by several teaching awards. Dr. Jaggia resides in San Luis Obispo with his wife and daughter. In his spare time, he enjoys cooking, hiking, and listening to a wide range of music.

Sommaire:
Part I IntroductionChapter 1 Statistics and DataPart II Descriptive StatisticsChapter 2 Tabular and Graphical MethodsChapter 3 Numerical Descriptive MeasuresPart III Probability ConceptsChapter 4 Basic Probability ConceptsChapter 5 Discrete Probability DistributionsChapter 6 Continuous Probability DistributionsPart IV Basic InferenceChapter 7 Sampling and Sampling DistributionsChapter 8 Interval EstimationChapter 9 Hypothesis TestingChapter 10 Statistical Inference Concerning Two PopulationsChapter 11 Statistical Inference Concerning VariancePart V Advanced InferenceChapter 12 Chi-Square TestsChapter 13 Analysis of VarianceChapter 14 Regression AnalysisChapter 15 Inference with Regression ModelsChapter 16 Regression Models for Nonlinear RelationshipsChapter 17 Regression Models with Dummy VariablesPart VI Supplementary TopicsChapter 18 Time Series and ForecastingChapter 19 Returns, Index Numbers and InflationChapter 20 Nonparametric TestsPart VII Appendices

Appendix A Statistical Tables

Appendix B Solutions to Even-Numbered Exercises

Appendix C Glossary