Student Solutions Manual to accompany Doing Statistics for Business with Excel: Data, Inference, and Decision Making PDF Download
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Author: Marilyn K. Pelosi Publisher: Wiley ISBN: 9780471140115 Category : Mathematics Languages : en Pages : 107
Book Description
This text teaches readers the basic techniques for analyzing data to make business decisions. Each chapter of the book begins with a "story". The story tells of a business problem that needs to be solved and describes the data that were collected to help solve the problem. The exercises which are presented in the chapter are tied to that story and are threaded throughout the chapter. The reader is then left to finish the analysis for the story problem. Sample output from Excel, as well as keystroke and menu instructions are featured throughout the book.
Author: Marilyn K. Pelosi Publisher: Wiley ISBN: 9780471140115 Category : Mathematics Languages : en Pages : 107
Book Description
This text teaches readers the basic techniques for analyzing data to make business decisions. Each chapter of the book begins with a "story". The story tells of a business problem that needs to be solved and describes the data that were collected to help solve the problem. The exercises which are presented in the chapter are tied to that story and are threaded throughout the chapter. The reader is then left to finish the analysis for the story problem. Sample output from Excel, as well as keystroke and menu instructions are featured throughout the book.
Author: Marilyn K. Pelosi Publisher: ISBN: Category : Business & Economics Languages : en Pages : 900
Book Description
Disks contain: Data sets for text exercises in Excel v 4.0 worksheet format -- Macros developed by authors for statistical calculations.
Author: David F. Groebner Publisher: ISBN: 9780131209770 Category : Commercial statistics Languages : en Pages : 808
Book Description
This comprehensive text presents descriptive and inferential statistics with an assortment of business examples and real data, and an emphasis on decision-making. The accompanying CD-ROM presents Excel and Minitab tutorials as well as data files for all the exercises and exmaples presented.
Author: John Verzani Publisher: CRC Press ISBN: 1315360306 Category : Computers Languages : en Pages : 522
Book Description
The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version. See What’s New in the Second Edition: Increased emphasis on more idiomatic R provides a grounding in the functionality of base R. Discussions of the use of RStudio helps new R users avoid as many pitfalls as possible. Use of knitr package makes code easier to read and therefore easier to reason about. Additional information on computer-intensive approaches motivates the traditional approach. Updated examples and data make the information current and topical. The book has an accompanying package, UsingR, available from CRAN, R’s repository of user-contributed packages. The package contains the data sets mentioned in the text (data(package="UsingR")), answers to selected problems (answers()), a few demonstrations (demo()), the errata (errata()), and sample code from the text. The topics of this text line up closely with traditional teaching progression; however, the book also highlights computer-intensive approaches to motivate the more traditional approach. The authors emphasize realistic data and examples and rely on visualization techniques to gather insight. They introduce statistics and R seamlessly, giving students the tools they need to use R and the information they need to navigate the sometimes complex world of statistical computing.
Author: Marilyn K. Pelosi
Author: Marilyn K. Pelosi
Author: Marilyn K. Pelosi
Author: Ed Bowker Staff
Author: Pelosi
Author: 
Author: Marilyn K. Pelosi
Author: Neil Thomson
Author: David F. Groebner
Author: Marilyn K. Pelosi
Author: John Verzani