Applied Statistics in Business and Economics 3/e (絕)
- 20本以上，享 8.5折
售價
$
洽詢
- 一般書籍
- ISBN：9780071220705
- 作者：David P. Doane
- 版次：3
- 年份：2011
- 出版商：McGraw-Hill
書籍介紹
本書特色
目錄
作者介紹
Description
Applied Statistics in Business & Economics, 3rd Edition provides a comprehensive introduction to Statistics concepts and applications in business and economics. The text and online supplements emphasize thinking about data, choosing appropriate data analytic tools, and using computers effectively. The authors demonstrate easily mastered software techniques using the common software available.
Applied Statistics in Business & Economics, 3rd Edition provides a comprehensive introduction to Statistics concepts and applications in business and economics. The text and online supplements emphasize thinking about data, choosing appropriate data analytic tools, and using computers effectively. The authors demonstrate easily mastered software techniques using the common software available.
Features
- McGraw-Hill's Connect uses exercises pulled directly from the textbook to create static and algorithmic questions that can be used for practice, homework, quizzes, and tests.
- Revised learning objectives mapped to topics within chapter sections.
- Step-by-step instructions on using Excel 2007 for descriptive statistics, histograms, scatter plots, line charts, fitting trends, and editing charts.
- Sixteen large, real data sets that can be downloaded for class projects.
- Appendix on writing technical business reports and presenting them orally.
- Expanded treatment of business ethics and critical thinking skills.
- Closer compatibility between textbook exercises and Connect online grading.
- New Mini Cases featuring Vail Resorts, Inc., a mountain resort company.
- Consistent notation for random variables and event probabilities.
- Improved flow of normal distribution concepts and matching exercises.
- Restructured material on sampling distributions, estimation, and hypothesis testing.
- Intuitive explanations and illustrations of p-values and steps in hypothesis testing.
- New format for hypotheses in tests of two means or two proportions.
- Moved two-sample confidence intervals to chapter on two-sample hypothesis tests.
- More coverage of covariance and its role in financial analysis.
- More emphasis on interpretation of regression results.
- End of each chapter guides to downloads from the Online Learning Center (simulations, demonstrations, tips, and ScreenCam video tutorials for Excel, MegaStat, and Minitab.
- Improved, nontechnical introductions to chapter topics.
- Updates and improvements throughout, including examples, exercises, and large data sets.
- Expanded and updated mini cases that will motivate and interest students.
- New exercises and examples using real data from Noodles & Company, a rapidly growing casual dining chain.
- Videos covering Noodles & company and how they do forecasting, make location decisions, and conduct marketing research.
- New Exam review question sections follow selected chapters and provide a tool for student exam prep.
- Compatibility with Microsoft Excel 2007, as well as Excel 2003.
- Inference chapters 9 and 10 have been reorganized to allow more course focus on means as opposed to proportions.
- Series of mini-cases illustrate complete projects using applied statistics.
- Strong focus on interpretation and applied business decisions; using Excel and/or MegaStat in a practical manner to handle the computations.
- Exercises, examples, and the narrative are fully integrated with Excel.
- Superior technology support offered with the inclusion of MegaStat for Excel, Visual Statistics and Learning Statistics resources.
- Thorough treatment of graphical presentations and business writing.
- Quality graphic and computation-driven lessons on regression and modeling followed by thorough analysis of time series and forecasting.
- Consistent 5-step approach to hypothesis testing with special consideration of inference mechanics, proportions, and power curves.
- Authors Lori Seward and David Doane are experienced teachers and the text is focused on student learning.
- Healthcare examples and data sets provide a sub-theme that connects the use of statistics to one of the fastest growing sectors of the economy.
- Real data and examples are used to support and develop problem solving skills.
Table of Contents
Chapter 1 Overview of Statistics
Chapter 2 Data Collection
Chapter 3 Describing Data Visually
Chapter 4 Descriptive Statistics
Chapter 5 Probability
Chapter 6 Discrete Probability Distributions
Chapter 7 Continuous Probability Distributions
Chapter 8 Sampling Distributions and Estimation
Chapter 9 One Sample Hypothesis Tests
Chapter 10 Two Sample Hypothesis Tests
Chapter 11 Analysis of Variance
Chapter 12 Simple Regression
Chapter 13 Multiple Regression
Chapter 14 Time Series Analysis
Chapter 15 Chi-Square Tests
Chapter 16 Nonparametric Tests
Chapter 17 Quality Management
Chapter 18 Simulation ( Online Learning Center www.mhhe.com/doane3e)
Chapter 1 Overview of Statistics
Chapter 2 Data Collection
Chapter 3 Describing Data Visually
Chapter 4 Descriptive Statistics
Chapter 5 Probability
Chapter 6 Discrete Probability Distributions
Chapter 7 Continuous Probability Distributions
Chapter 8 Sampling Distributions and Estimation
Chapter 9 One Sample Hypothesis Tests
Chapter 10 Two Sample Hypothesis Tests
Chapter 11 Analysis of Variance
Chapter 12 Simple Regression
Chapter 13 Multiple Regression
Chapter 14 Time Series Analysis
Chapter 15 Chi-Square Tests
Chapter 16 Nonparametric Tests
Chapter 17 Quality Management
Chapter 18 Simulation ( Online Learning Center www.mhhe.com/doane3e)
David P. Doane is Professor of Quantitative Methods in Oakland University's Department of Decision and Information Sciences. He earned his Bachelor of Arts degree in mathematics and economics at the University of Kansas in 1966 and his PhD from Purdue University's Krannert Graduate School in 1969. His research and teaching interests include applied statistics, forecasting, and statistical education. He is co-recipient of three National Science Foundation grants to develop software to teach statistics and to create a computer classroom. He is a long-time member of the American Statistical Association and INFORMS, serving in 2002 as President of the Detroit ASA chapter, where he remains on the board. He has consulted with government, health care organizations, and local firms. He has published articles in many academic journals and is the author of LearningStats (McGraw-Hill, 2003, 2007) and co-author of Visual Statistics (McGraw-Hill, 1997, 2001).
