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(데이터분석을 위해 엑셀로 100% 구현된) 앤더슨의 통계학 6판

저자 : David R. Anderson, Dennis J. Sweeney, Thomas A. Williams | 역자: 류귀열 · 김창규 · 최승은 · 김민중 · 이성철 | 출간 연도 : 2017

ISBN 9791156854029 ()
가격 37,000원
저자 David R. Anderson, Dennis J. Sweeney, Thomas A. Williams
역자 류귀열 · 김창규 · 최승은 · 김민중 · 이성철
출간 연도 2017
판 6
페이지 836쪽
크기 205X255
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원서 ISBN 9781285867045
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본서는 "Essentials of Modern Business Statistics" 를 번역한 책으로서 원저의 저자들은 통계학 저서에서 지금까지 하지 않았던 창의적인 시도를 하였다. 먼저 통계학 책에서 많이 사용되었던 수식과 증명은 먼저 이해하여야만 적용할 수 있는 사전적 지식으로 고착화 되어, 우리나라에서 통계학이 광범위하게 활용되는데 큰 걸림돌로 작용되었다. 그러나 본서는 통계학의 활용에 필요한 수식사용을 최소화하고, 제시된 수식도 대화체로 사칙연산만 알면 이해할 수 있도록 어렵지 않게 설명하고 있어서 통계학을 쉽게 공부할 수 있도록 작성되었다. 두 번째로 최근의 풍부한 자료를 바탕으로 통계학 응용을 실감나게 할 수 있다는 점이다.

Chapter 1 자료와 통계학

Chapter 2 기술통계학 : 표와 그래프 표현

Chapter 3 기술통계량 : 정량적 측정

Chapter 4 확률 입문

Chapter 5 이산확률분포

Chapter 6 연속확률분포

Chapter 7 표본과 표본분표

Chapter 8 구간추정

Chapter 9 가설검정

Chapter 10 평균 비교, 실험설계와 분산분석

Chapter 11 비율을 포함한 비교와 독립성 검정

Chapter 12 단순선형회귀

Chapter 13 다중회귀분석

Chapter 14 통계적 품질관리

Table of Contents

  • 1. Data and Statistics.
    2. Descriptive Statistics: Tabular and Graphical Presentations.
    3. Descriptive Statistics: Numerical Measures.
    4. Introduction to Probability.
    5. Discrete Probability Distributions.
    6. Continuous Probability Distributions.
    7. Sampling and Sampling Distributions.
    8. Interval Estimation.
    9. Hypothesis Tests.
    10. Comparisons Involving Means, Experimental Design, and Analysis of Variance.
    11. Comparisons Involving Proportions and a Test of Independence.
    12. Simple Linear Regression.
    13. Multiple Regression.
    14. Timer Series Analysis and Forecasting (on Website).
    15. Statistical Methods for Quality Control (on Website).
    Appendix A: References and Bibliography.
    Appendix B: Tables.
    Appendix C: Summation Notation.
    Appendix D: Self-Test Solutions and Answers to Even-Numbered Exercises.
    Appendix E: Microsoft Excel 2013 and Tools for Statistical Analysis.

    • PROBLEM-SCENARIO APPROACH. With its hands-on approach, the text presents discussion and development of each technique in an applications setting, with the statistical results providing insights to decisions and solutions to problems. The problem scenarios enable students to see how statistics can be applied in real-world business and economics practice--increasing their interest and motivation for learning statistics.
    • STUDENT READABILITY. For more than 30 years, student surveys and instructor feedback have shown that readability is a hallmark of ASW textbooks. In addition, the text is packed with real-world examples, current illustrations, and step-by-step instructions.
    • OUTSTANDING EXERCISES. End-of-section exercises are split into two parts: Methods and Applications. The Methods exercises require students to use formulas and make appropriate computations. The Applications exercises require students to use the chapter material in real-world situations. Many of the Applications exercises are based on recent data obtained from referenced sources. Combining these two methods enables students to focus on the computational "nuts and bolts" before advancing to the subtleties of statistical application and interpretation. Certain exercises are identified as self-test exercises and have completely worked-out-solutions provided in Appendix D.
    • DATA FILES. Data files for case problems and for exercises with large amounts of data are available on the student companion website. These are in Excel 2013, and will save students time and reduce the likelihood of errors in data entry. The WEBfile logo in the margin indicates the existence of a data file; the name of the file appears under the logo.
    • MARGIN ANNOTATIONS AND NOTES AND COMMENTS. Helping ensure thorough student understanding, margin annotations highlight key points and provide additional insights. Many sections end with Notes and Comments designed to give students additional insights about the statistical methodology and its application. Notes and Comments include warnings about or limitations of the methodology, recommendations for application, brief descriptions of additional technical considerations, and more.
    • FREE ACCESS TO STATTOOLS FROM PALISADE CORPORATION. StatTools is an industry-standard Excel add-in that is available to adopters of this text at no charge. StatTools extends the range of statistical and graphical options for Excel users. Its use is completely optional. Instructions for downloading and installing StatTools are in an appendix to Chapter 1, and most chapters include an appendix that shows the steps required to accomplish a statistical procedure using StatTools.
    • SELF-TEST EXERCISES. Helping students maximize their course success, step-by-step solutions for self-test exercises are provided in Appendix D. Students can attempt the Self-Test exercises and immediately check the solution to evaluate their understanding of the concepts presented in each chapter.
    • INTEGRATION OF EXCEL. Immediately following every statistical procedure, a sub-section discusses how to use Excel to perform that procedure. This style enables the use of Excel to be integrated throughout the text while keeping the primary emphasis on the statistical methodology being discussed. In addition, each sub-section uses a consistent framework for applying Excel to help users focus on the statistical methodology without getting bogged down in the details of using Excel.

    • Dr. David R. Anderson is a textbook author and Professor Emeritus of Quantitative Analysis in the College of Business Administration at the University of Cincinnati. He has served as head of the Department of Quantitative Analysis and Operations Management and as Associate Dean of the College of Business Administration. He was also coordinator of the College’s first Executive Program. In addition to introductory statistics for business students, Dr. Anderson has taught graduate-level courses in regression analysis, multivariate analysis, and management science. He also has taught statistical courses at the Department of Labor in Washington, D.C. Professor Anderson has received numerous honors for excellence in teaching and service to student organizations. He is the coauthor of ten textbooks related to decision sciences and actively consults with businesses in the areas of sampling and statistical methods. Born in Grand Forks, North Dakota, he earned his BS, MS, and PhD degrees from Purdue University. 

      Dr. Dennis J. Sweeney is a textbook author, Professor Emeritus of Quantitative Analysis and founder of the Center for Productivity Improvement at the University of Cincinnati. He also served five years as head of the Department of Quantitative Analysis and four years as Associate Dean of the College of Business Administration. In addition, he has worked in the management science group at Procter & Gamble and has been a visiting professor at Duke University. Professor Sweeney has published more than 30 articles in the area of management science and statistics. The National Science Foundation, IBM, Procter & Gamble, Federated Department Stores, Kroger, and Cincinnati Gas & Electric have funded his research, which has been published in MANAGEMENT SCIENCE, OPERATIONS RESEARCH, MATHEMATICAL PROGRAMMING, DECISION SCIENCES, and other journals. Dr. Sweeney is the coauthor of ten textbooks in the areas of statistics, management science, linear programming, and production and operations management. Born in Des Moines, Iowa, he earned a BS degree from Drake University, graduating summa cum laude. He received his MBA and DBA degrees from Indiana University, where he was an NDEA Fellow. 

      Dr. Thomas A. Williams is Professor of Management Science in the College of Business at Rochester Institute of Technology where he was the first chairman of the Decision Sciences Department. He teaches courses in management science and statistics, as well as graduate courses in regression and decision analysis. Before joining the College of Business at RIT, Professor Williams served for seven years as a faculty member in the College of Business Administration at the University of Cincinnati, where he developed the undergraduate program in Information Systems and then served as its coordinator. The co-author of 11 leading textbooks in the areas of management science, statistics, production and operations management, and mathematics, Professor Williams has been a consultant for numerous Fortune 500 companies and has worked on projects ranging from the use of data analysis to the development of large-scale regression models. He earned his B.S. degree at Clarkson University and completed his graduate work at Rensselaer Polytechnic Institute, where he received his M.S. and Ph.D. degrees. 
       

    Essentials of Modern Business Statistics with Microsoft® Excel® 6th Edition
    David R. Anderson | Dennis J. Sweeney | Thomas A. Williams
    ISBN-13: 9781285867045 | ISBN-10: 1285867041
    © 2016 | Published |  784  Pages