Business Statistics: Communicating with Numbers ISE

Häftad, Engelska, 2024

919 kr

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Business Statistics: Communicating with Numbers takes a comprehensive and contemporary approach that aims to bridge the gap between how statistics is taught and applied in the business world. This title not only prepares students in basic statistics but also gets them excited about further exploration of data analytics. The authors emphasize communicating with numbers rather than number crunching, through relatable case studies with relevant statistical methods and takeaways. This title incorporates timely examples from various fields, reinforces core features from previous editions, uses Excel and R to analyze data and solve problems, and includes new improvements, such as a revised chapter on data visualization, an exclusive chapter on logistic regression, and digital enhancements such as a big data capstone project with algorithmic exercises that span across multiple chapters.

Produktinformation

Utgivningsdatum2024-02-20
Mått277 x 217 x 29 mm
Vikt1 372 g
FormatHäftad
SpråkEngelska
Antal sidor784
Upplaga5
FörlagMcGraw-Hill Education
ISBN9781266802508

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 data analytics applied to a wide range of business disciplines. Dr. Jaggia has published numerous papers in leading academic journals and has co-authored three successful textbooks, two in business statistics and one in business analytics. 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.

PART ONE: INTRODUCTION 1 Data and Data Preparation PART TWO: DESCRIPTIVE STATISTICS 2 Tabular and Graphical Methods 3 Numerical Descriptive Measures PART THREE: PROBABILITIY AND PROBABILITY DISTRIBUTIONS4 Introduction to Probability 5 Discrete Probability Distributions 6 Continuous Probability Distributions PART FOUR: BASIC INFERENCE 7 Sampling and Sampling Distributions 8 Interval Estimation 9 Hypothesis Testing10 Statistical Inference Concerning Two Populations 11 Statistical Inference Concerning Variance 12 Chi-Square Tests PART FIVE: ADVANCED INFERENCE 13 Analysis of Variance 14 Regression Analysis 15 Inference with Regression Models 16 Regression Models for Nonlinear Relationships 17 Regression Models with Dummy Variables PART SIX: SUPPLEMENTARTY TOPICS 18 Forecasting with Time Series Data 19 Returns, Index Numbers, and Inflation 20 Nonparametric Tests APPENDIX A: Getting Started with R APPENDIX B: Tables APPENDIX C: Answers to Selected Even-Numbered Exercises