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Business Statistics: A First Course, by Mark L. Berenson
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This volume provides a basic introduction to business statistics.
- Sales Rank: #15514154 in Books
- Published on: 2000-01
- Original language: English
- Dimensions: 10.50" h x 8.25" w x .50" l,
- Binding: Paperback
- 144 pages
From the Back Cover
Key Benefit: Written in a warm and engaging style, this carefully developed, streamlined paperback offers a real-world, analytical approach to learning the basics of business statistics. Key Topics: Clarifying and applying concepts with an extensive amount of real data, the book delves into such areas as: why a manager needs to know about statistics; organizing numerical data; determining the simple linear regression equation; hypothesis-testing methodology, and more. It provides simplified notation that uses words as well as symbols in many formulas, presents early coverage of regression and time series analysis, and highlights sections on Good Data Analysis. Market: For business professionals.
Excerpt. © Reprinted by permission. All rights reserved.
Educational Philosophy
In our many years of teaching introductory statistics courses, we have continually searched for ways to improve the teaching of these courses. Our vision for teaching these introductory business statistics courses has been shaped by active participation in a series of Making Statistics More Effective in Schools of Business, Decision Sciences Institute, and American Statistical Association conferences as well as the reality of serving a diverse group of students at large universities. Over the years, our vision has come to include these principles:
This new third edition of Business Statistics: A First Course has been vastly improved in a number of important areas.
APPLICATIONS- Updated and improved Using Statistics business scenarios—Each chapter begins with a "Using Statistics" example that shows how statistics can be used in one of the functional areas of business—accounting, finance, information systems, management, or marketing. This scenario (and in some cases an additional scenario) is used throughout the chapter to provide an applied context for the concepts.
- Hundreds of new applied examples and exercises, with data from the Wall Street Journal, USA Today, and other sources have been added to the text.
- Visual Explorations
- Answers to most even-numbered exercises are provided at the end of the book.
- Report Writing Exercises allow students to place the results of an analysis in a business context by incorporating Microsoft Office techniques such as pasting Microsoft Excel tables and charts into a Microsoft Word document and PowerPoint presentation.
- Internet Exercises, located on the book's Web site (www.prenhall.com/levine), allow students to explore data sources that are available on the World Wide Web.
- Case Studies and Team Projects—Detailed case studies are included at the ends of many chapters. The Springville Herald case is included at the end of most chapters as an integrating theme. A team project relating to mutual funds is also included at the end of most chapters as an integrating theme.
- A new streamlined design that uses full-color text.
- Emphasis on data analysis and interpretation of computer output—We take the position that the use of computer software (Microsoft Excel or a statistical software package such as Minitab or SPSS®) is an integral part of learning statistics. Our focus emphasizes analyzing data, interpreting the output from Microsoft Excel or Minitab or SPSS®, and explaining how to use this software while reducing emphasis on doing computations. Therefore, we have added a great deal of computer output and integrated this output into the fabric of the text. For example, in the coverage of tables and charts in Chapter 2, the focus is on the interpretation of various charts, not on their construction by hand. In our coverage of hypothesis testing in Chapters 7 through 9, extensive computer output has been included so that the p-value approach can be used. In our coverage of simple linear regression in Chapter 10, it is assumed that Microsoft Excel, Minitab, or SPSS® will be used and, thus, the focus is on the interpretation of the output and not on hand calculations (which have been placed in a separate section of the chapter).
- PHStat2 is Prentice Hall's Excel add-in, which provides a custom menu of topics that supplement the Data Analysis Tool of Microsoft Excel. Using Excel and PHStat2, the user is able to perform statistical analysis for virtually all the topics that would be covered in a business statistics course at the introductory level. PHStat2, an updated version of PHStat, includes new features such as histograms and polygons and a help system.
- End-of-chapter appendices on Microsoft Excel, Minitab, and SPSS®, with screen shots of dialog boxes, provide easy-to-follow instructions.
- Chapter 1 ("Introduction and Data Collection") provides explanation of how to obtain data from the World Wide Web and contains additional chapter review problems accessing the World Wide Web.
- Chapter 2 ("Presenting Data in Tables and Charts") contains an updated "Using Statistics" example, new graphical excellence examples, a section on the scatter diagram, and a section on placing Microsoft Excel worksheet data and charts into Microsoft Word documents.
- Chapter 3 ("Descriptive Statistics") contains an updated "Using Statistics" exampt4t, additional integration of Excel, Minitab, and SPSS(r) output, coverage of the correlation coefficient, coverage of the geometric mean (which is important for finance students), a Visual Explorations module for descriptive statistics, and placing Microsoft Excel worksheet data and charts in PowerPoint presentations.
- Chapter 4 ("Basic Probability") includes an appendix on PHStat2.
- Chapter 5 ("Probability Distributions") moves covariance so that it follows expected value, uses an example with a negative covariance, adds a second "Using Statistics" scenario involving an Internet company, uses only the cumulative normal table, integrates Excel and Minitab output into the normal distribution section, and contains a Visual Exploration module for the normal distribution.
- Chapter 6 ("Sampling Distributions and Confidence Interval Estimation") streamlines the introductory section and contains a Visual Explorations module for sampling distributions.
- Chapter 7 ("Fundamentals of Hypothesis Testing: One-Sample Tests") adds computer output to all sections and combines sections so that the p-value approach is not in a separate section.
- Chapter 8 ("Hypothesis Tests for Numerical Data from Two or More Samples") changes the "Using Statistics" example to one related to marketing and provides additional emphasis on p-values.
- Chapter 9 ("Hypothesis Tests for Categorical Data from Two or More Samples") adds the confidence interval estimate for the difference between two proportions.
- Chapter 10 ("Simple Linear Regression") adds additional coverage of PHStat2 and contains a Visual Explorations module on regression.
- Chapter 11 ("Multiple Regression") adds a section on transformations and adds new PHStat2 features to the sections on stepwise regression and confidence intervals for the mean respo...
Most helpful customer reviews
1 of 1 people found the following review helpful.
Very useful- very practical examples
By Akshay Rajagopalan
My knowledge of stats was limited to mean, median, mode, SD, variance, and the other basics; I knew very little about probability distributions, hypothesis testing, regression and the like. This book explains the fundamentals very well and the exercises are very practical, so they are easy to relate to. I would recommend buying the edition with the CD because there a number of exercise questions that need the CD. It's totally worth it!
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