Business statistics : communicating with numbers / Sanjiv Jaggia, California Polytechnic State University, Alison Kelly, Suffolk University.

Machine generated contents note: Part I Introduction -- Chapter 1 Statistics and Data -- Part II Descriptive Statistics -- Chapter 2 Tabular and Graphical Methods -- Chapter 3 Numerical Descriptive Measures -- Part III Probability Concepts -- Chapter 4 Basic Probability Concepts -- Chapter 5 Discrete Probability Distributions -- Chapter 6 Continuous Probability Distributions -- Part IV Basic Inference -- Chapter 7 Sampling and Sampling Distributions -- Chapter 8 Interval Estimation -- Chapter 9 Hypothesis Testing -- Chapter 10 Statistical Inference Concerning Two Populations -- Chapter 11 Statistical Inference Concerning Variance -- Part V Advanced Inference -- Chapter 12 Chi-Square Tests -- Chapter 13 Analysis of Variance -- Chapter 14 Regression Analysis -- Chapter 15 Inference with Regression Models -- Chapter 16 Regression Models for Nonlinear Relationships -- Chapter 17 Regression Models with Dummy Variables -- Part VI Supplementary Topics -- Chapter 18 Time Series and Forecasting -- Chapter 19 Returns, Index Numbers and Inflation -- Chapter 20 Nonparametric Tests -- Part VII Appendices -- Appendix A Statistical Tables -- Appendix B Solutions to Even-Numbered Exercises -- Appendix C Glossary.

"Overview: The first 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. "--.

"Statistics can be a fun and enlightening course for both students and teachers. From our years of experience in the classroom, we have found that an effective way to make statistics interesting is to use timely business applications to which students can relate. If interest can be sparked at the outset, students may end up learning statistics without realizing they are doing so. By carefully matching timely applications with statistical methods,students learn to appreciate the relevance of business statistics in our world today. We wrote Business Statistics: Communicating with Numbers because we saw a need for a contemporary, core statistics textbook that sparked student interest and bridged the gap between how statistics is taught and how practitioners think about and apply statistical methods. Throughout the text, the emphasis is on communicating with numbers rather than on number crunching. In every chapter, students are exposed to statistical information conveyed in written form"--.