Business Statistics uses current real-world data to equip students with the business analytics techniques and quantitative decision-making skills required to make more thoughtful, information-based decisions in today's workplace. Helping the student understand business analytics and the role that business statistics plays in it, the book has infused the language of business analytics along with its definitions, approaches, and explanations throughout the text. Continuing the tradition of presenting and explaining business statistics using clear, complete, and student-friendly pedagogy, this…mehr
Business Statistics uses current real-world data to equip students with the business analytics techniques and quantitative decision-making skills required to make more thoughtful, information-based decisions in today's workplace. Helping the student understand business analytics and the role that business statistics plays in it, the book has infused the language of business analytics along with its definitions, approaches, and explanations throughout the text. Continuing the tradition of presenting and explaining business statistics using clear, complete, and student-friendly pedagogy, this international edition includes new chapter cases reinforcing the vibrancy and relevance of statistics. In addition, topical changes have been made in select chapters and problems have been revised in all the chapters.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Ken Black is currently professor of quantitative management in the College of Business at the University of Houston-Clear Lake. Born in Cambridge, Massachusetts, and raised in Missouri, he earned a bachelor's degree in mathematics from Graceland University, a master's degree in math education from the University of Texas at El Paso, a Ph.D. in business administration (management science), and a Ph.D. in educational research from the University of North Texas. Since joining the faculty of UHCL in 1979, Professor Black has taught all levels of statistics courses, business analytics, forecasting, management science, market research, and production/operations management. He received the 2014 Outstanding Professor Alumni Award from UHCL. In 2005, he was awarded the President's Distinguished Teaching Award for the university. He has published over 25 journal articles and 30 professional papers, as well as two textbooks: Business Statistics: An Introductory Course and Business Statistics for Contemporary Decision-Making.
Inhaltsangabe
ABOUT THE AUTHOR vii PREFACE ix 1 Introduction to Statistics and Business Analytics 1 2 Visualizing Data with Charts and Graphs 23 3 Descriptive Statistics 57 4 Probability 91 5 Discrete Random Variables and Their Probability Distributions 129 6 Continuous Random Variables and Normal Distributions 169 7 Sampling and Sampling Distributions 205 8 Statistical Inference: Estimation for Single Populations 235 9 Statistical Inference: Hypothesis Testing for Single Populations 269 10 Statistical Inferences About Two Populations 317 11 Analysis of Variance and Design of Experiments 369 12 Simple Regression Analysis and Correlation 425 13 Multiple Regression Analysis 473 14 Building Multiple Regression Models 501 15 Time-Series Forecasting and Index Numbers 549 16 Analysis of Categorical Data 603 17 Nonparametric Statistics 623 18 Statistical Quality Control 669 19 Decision Analysis 711 APPENDIX A Tables 747 APPENDIX B Answers to Selected Problems 789 GLOSSARY 795 INDEX 803
ABOUT THE AUTHOR vii PREFACE ix 1 Introduction to Statistics and Business Analytics 1 2 Visualizing Data with Charts and Graphs 23 3 Descriptive Statistics 57 4 Probability 91 5 Discrete Random Variables and Their Probability Distributions 129 6 Continuous Random Variables and Normal Distributions 169 7 Sampling and Sampling Distributions 205 8 Statistical Inference: Estimation for Single Populations 235 9 Statistical Inference: Hypothesis Testing for Single Populations 269 10 Statistical Inferences About Two Populations 317 11 Analysis of Variance and Design of Experiments 369 12 Simple Regression Analysis and Correlation 425 13 Multiple Regression Analysis 473 14 Building Multiple Regression Models 501 15 Time-Series Forecasting and Index Numbers 549 16 Analysis of Categorical Data 603 17 Nonparametric Statistics 623 18 Statistical Quality Control 669 19 Decision Analysis 711 APPENDIX A Tables 747 APPENDIX B Answers to Selected Problems 789 GLOSSARY 795 INDEX 803
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