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Study Guide for Statistics for Business and Financial Economics

A Supplement to the Textbook by Cheng-Few Lee, John C. Lee and Alice C. Lee

  • Textbook
  • © 2015

Overview

Authors:
  1. Ronald L. Moy

    1. St. John's University Tobin College of Business, Staten Island, USA

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    You can also search for this author in PubMed   Google Scholar

  2. Li-Shya Chen

    1. National Chengchi University, Taipei, Taiwan

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    You can also search for this author in PubMed   Google Scholar

  3. Lie Jane Kao

    1. KNU Res Center of Corp Finance Dept Banking & Finance, Taoyuan, Taiwan

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • 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

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Table of contents (21 chapters)

  1. Front Matter

    Pages I-XI
    Download chapter PDF

  2. Introduction

    • Ronald L. Moy, Li-Shya Chen, Lie Jane Kao
    Pages 1-9

  3. Data Collection And Presentation

    • Ronald L. Moy, Li-Shya Chen, Lie Jane Kao
    Pages 11-21

  4. Frequency Distributions and Data Analyses

    • Ronald L. Moy, Li-Shya Chen, Lie Jane Kao
    Pages 23-36

  5. Numerical Summary Measures

    • Ronald L. Moy, Li-Shya Chen, Lie Jane Kao
    Pages 37-49

  6. Probability Concepts and Their Analysis

    • Ronald L. Moy, Li-Shya Chen, Lie Jane Kao
    Pages 51-65

  7. Discrete Random Variables and Probability Distributions

    • Ronald L. Moy, Li-Shya Chen, Lie Jane Kao
    Pages 67-81

  8. Normal and Lognormal Distributions

    • Ronald L. Moy, Li-Shya Chen, Lie Jane Kao
    Pages 83-97

  9. Sampling and Sampling Distributions

    • Ronald L. Moy, Li-Shya Chen, Lie Jane Kao
    Pages 99-113

  10. Other Continuous Distributions and Moments for Distributions

    • Ronald L. Moy, Li-Shya Chen, Lie Jane Kao
    Pages 115-128

  11. Estimation and Statistical Quality Control

    • Ronald L. Moy, Li-Shya Chen, Lie Jane Kao
    Pages 129-143

  12. Hypothesis Testing

    • Ronald L. Moy, Li-Shya Chen, Lie Jane Kao
    Pages 145-163

  13. Analysis of Variance and Chi-Square Tests

    • Ronald L. Moy, Li-Shya Chen, Lie Jane Kao
    Pages 165-189

  14. Simple Linear Regression and the Correlation Coefficient

    • Ronald L. Moy, Li-Shya Chen, Lie Jane Kao
    Pages 191-208

  15. Simple Linear Regression and Correlation: Analyses and Applications

    • Ronald L. Moy, Li-Shya Chen, Lie Jane Kao
    Pages 209-222

  16. Multiple Linear Regression

    • Ronald L. Moy, Li-Shya Chen, Lie Jane Kao
    Pages 223-240

  17. Other Topics in Applied Regression Analysis

    • Ronald L. Moy, Li-Shya Chen, Lie Jane Kao
    Pages 241-260

  18. Nonparametric Statistics

    • Ronald L. Moy, Li-Shya Chen, Lie Jane Kao
    Pages 261-282

  19. Time-Series: Analysis, Model, and Forecasting

    • Ronald L. Moy, Li-Shya Chen, Lie Jane Kao
    Pages 283-307

  20. Index Numbers and Stock Market Indexes

    • Ronald L. Moy, Li-Shya Chen, Lie Jane Kao
    Pages 309-325
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Keywords

About this book

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.

Authors and Affiliations

  • St. John's University Tobin College of Business, Staten Island, USA

    Ronald L. Moy

  • National Chengchi University, Taipei, Taiwan

    Li-Shya Chen

  • KNU Res Center of Corp Finance Dept Banking & Finance, Taoyuan, Taiwan

    Lie Jane Kao

About the authors

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.

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