Statistics for management and economics 7th edition
View larger. Download instructor resources. Additional order info. K educators : This link is for individuals purchasing with credit cards or PayPal only. This text is also at a mathematically higher level than most business statistics texts and provides students with the knowledge they need to become stronger analysts for future managerial positions.
The seventh edition of this book has been revised and updated to provide students with improved problem contexts for learning how statistical methods can improve their analysis and understanding of business and economics. This product is part of the following series. Click on a series title to see the full list of products in the series. For business statistics courses taught in Economics and Business Schools.
MyStatLab courses also include essay questions that can be assigned for online tests and quizzes and other resources designed specifically to help students succeed in Statistics. Use this proven technology to help you and your students succeed. Portfolio methodology extending beyond two securities —This feature indicates the complexity and procedures for developing portfolio means and variances.
Very strong and in-depth development of linear regression —This includes extensions to non-linear models including dummy variables and exponential models NEW!
Estimation of Financial Beta coefficients and their interpretation. Application of dummy variable models to public sector policy analysis.
Provides numerous examples. Each statistical example and solution is presented in the context of a real world business problem. The authors use data from the real world, allowing students to see how real world analysis is conducted. Provides detailed step-by-step examples, figures and graphs, and interpretation of data. In business there are many ways to misuse statistical data if one does not have some understanding of how the models work. Provides applications of statistics to functional areas such as marketing, finance, accounting, management, and economics.
Business students are interested in problems from the perspective of a manager or a business analyst. Thus, linkage between strong statistical methodology and their careers is critical. Extensive exercises. Depending on your approach, students can first perform some hand calculations in order to appreciate the methodology and data, then progress to more realistic applied problems that will require the use of the computer to remove the large computational burden. Software Integration.
Data files for Excel and Minitab, and TreePlan are provided with an emphasis on interpreting the statistical output, which is similar in all packages. Students are now more computer literate and detailed explanations of specific software are best left to computer manuals. Comprehensive Coverage. Examples and exercises that clearly demonstrate specific statistical techniques needed for varying real world scenarios.
By emphasizing underlying methodology instead of detailed problem solving, the student develops an overall understanding that they can use when they face a new problem not covered in our examples and exercises. Probability Function of the Binomial Distribution 3. Cumulative Binomial Probabilities 4. Individual Poisson Probabilities 6. Cumulative Poisson Probabilities 7.
Cutoff Points for the F Distribution Pearson offers affordable and accessible purchase options to meet the needs of your students. AbeBooks Bookseller Since: March 23, Stock Image. Used Condition: Very Good Hardcover. Save for Later. From a2zbooks Burgin, KY, U.
View all copies of this book. The text appears clean, The cover has light corner wear scuffs. Binding is very good. Multiple copies available this title. Quantity Available: Shipped Weight: Under 1 kilo. ISBN: Pictures of this item not already displayed here available upon request.
Inventory No: Seller Inventory Ask Seller a Question. About this title Synopsis: This worldwide best-selling business statistics text teaches students how to apply statistics to real business problems through the author's unique three-step approach to problem solving.
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