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Informationen zum Autor Dr Carlos Cortinhas is a Teaching Fellow at the Department of Economics at Exeter University Business School. He completed his PhD in 2007 and prior to joining Exeter Dr Cortinhas completed his Masters at Kobe University, Japan. Aside from academia, he has previously worked for the Industrial Bank of Japan and also for the Ministry for the Economy and Innovation in Portugal. Dr Cortinhas teaches two introductory courses in statistics for undergraduate students at Exeter: the first for accounting, finance and economics majors and the second for business and management majors. Klappentext Business Statistics: First European Edition provides readers with in-depth information on business, management and economics. It includes robust and algorithmic testbanks, high quality PowerPoint slides and electronic versions of statistical tables. Furthermore, the text features down-to-earth explanations that are thorough, along with examples to which readers can easily relate.Every chapter contains "Decision Dilemma" cases; "Ethical Consideration" boxes; and "Statistics in Business Today" features. The text contains nearly 1,000 problems created from business scenarios with real data information and 17 videos by Ken Black explaining many of the more difficult concepts and how to work problems, a student solutions manual with all the work for the odd-numbered problems along with 40 extra questions for each chapter, animated demonstration problems, flash cards, applets, databases, and extra problems to solve. Zusammenfassung Every business area relies on an understanding of statistics to succeed. Statistics for Business and Economics by Carlos Cortinhas and Ken Black shows students that the proper application of statistics in the business world goes hand-in-hand with good decision making. Inhaltsverzeichnis Unit I Introduction 1 Introduction to Statistics 3 2 Charts and Graphs 19 3 Descriptive Statistics 51 4 Probability 102 Unit II Distributions and Sampling 5 Discrete Distributions 149 6 Continuous Distributions 194 7 Sampling and Sampling Distributions 234 Unit III Making Inferences About Population Parameters 8 Statistical Inference: Estimation for Single Populations 271 9 Statistical Inference: Hypothesis Testing for Single Populations 310 10 Statistical Inferences About Two Populations 363 11 Analysis of Variance and Design of Experiments 422 Unit IV Regression Analysis and Forecasting 12 Simple Regression Analysis and Correlation 487 13 Multiple Regression Analysis 545 14 Building Multiple Regression Models 578 15 Time-Series Forecasting and Index Numbers 625 Unit V Categorical Data and Non-parametric Statistics 16 Analysis of Categorical Data 685 17 Non-parametric Statistics 713 Appendices A Tables 765 B Answers to Selected Odd-Numbered Quantitative Problems 807 Glossary 819 Index 829 Website Materials 18 Statistical Quality Control 19 Decision Analysis ...
