Study Guide for Statistics for Business and Financial Economics

This Study Guide accompanies Statistics for Business and Financial Economics, 3rd Ed. (Springer, 2013), which is the most definitive Business Statistics book to use Finance, Economics, and Accounting data throughout the entire book. The Study Guide contains unique chapter reviews for each chapter in the textbook, formulas, examples and additional exercises to enhance topics and their application. Solutions are included so students can evaluate their own understanding of the material. With more real-life data sets than the other books on the market, this study guide and the textbook that it accompanies, give readers all the tools they need to learn material in class and on their own. It is immediately applicable to facing uncertainty and the science of good decision making in financial analysis, econometrics, auditing, production and operations, and marketing research. Data that is analyzed may be collected by companies in the course of their business or by governmental agencies. Students in business degree programs will find this material particularly useful to their other courses and future work.

Acts as approachable aid to students using textbook "Statistics for Business and Financial Economics" (3rd ed. Springer, 2013) Chapters include sections on intuition, review, example problems, supplementary exercises, and useful formulas for the corresponding chapters in the textbook Examples are taken directly from Business and Finance Includes supplementary material: sn.pub/extras

Autorentext
Professor Moy received his Ph.D. in Economics from Rutgers University. His research interests include, competitive strategy in the investment process, financial education and golf economics. He has published in the areas of asset pricing, insurance, golf earnings and financial education. He is the co-author of The Irwin Guide to Stocks Bonds Futures and Options. He is a Chartered Financial Analyst and a Certified Financial Planner and is on the editorial board of the Review of Business.Dr. Li-Shya Chen earned her PhD from School of Statistics at University of Minnesota. She is currently an Associate Professor in the Department of Statistics, College of Commerce, National Chengchi University (NCCU). She has 21 years of experience teaching courses in Statistics.Dr. LieJane Kao, an Associate Prof. of Dept. of Banking and Finance at Kainan University, with an Ph. D. degree in Statistics, is specialized in the field of statistics and quantitative finance.

Klappentext

This Study Guide accompanies Statistics for Business and Financial Economics, 3rd Ed. (Springer, 2013), which is a business statistics textbook that uses finance, economics, and accounting data throughout the book. This Study Guide contains unique chapter reviews for each chapter in the textbook, formulas, examples, and additional exercises to enhance topics and their application. Solutions are included so students can evaluate their own understanding of the material. With more real-life data sets than the other books on the market, this study guide and the textbook that it accompanies, give readers all the tools they need to learn material in class and on their own. The topics covered are immediately applicable to facing uncertainty and the science of good decision making in financial analysis, econometrics, auditing, production, operations, and marketing research. Students in business degree programs will find this material particularly useful in their other courses and future work.

Inhalt
Introduction.- Data Collection and Presentation.- Frequency Distribution and Data Analyses.- Numerical Summary Measures.- Probability Concepts and their Analyses.- Discrete Random Variables and Probability Distributions.- The Normal and Lognormal Distributions.- Sampling and Sampling Distributions.- Other Continuous Distributions and Moments for Distributions.- Hypothesis Testing.- Analysis of Variance and Chi-Square Tests.- Simple Linear Regression and the Correlation Coefficient.- Simple Linear Regression and Correlation: Analyses and Applications.- Multiple Linear Regression.- Other Topics in Applied Regression Analysis.- Nonparametric Statistics.- Time-Series: Analysis, Model and Forecasting.- Index Numbers and Stock Market Indexes.- Sampling Surveys.- Statistical Decision Theory.