Practical Statistics By Example Using Microsoft Excel And Minitab


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Practical Statistics by Example Using Microsoft Excel and MINITAB


Practical Statistics by Example Using Microsoft Excel and MINITAB

Author: Terry Sincich

language: en

Publisher: Pearson

Release Date: 2002


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This book/CD-ROM text for an introductory statistics course focuses on principles that are important for non-statistics majors. Each new concept is introduced and illustrated with real examples from various disciplines that demonstrate how to solve various types of statistical problems. Examples are accompanied by graphs and output for a focus on analysis and interpretation. The spreadsheet application Microsoft Excel and the statistical software MINITAB are integrated throughout the text, and tutorials on both are offered. Students are assumed to have a background in college algebra. Learning features include self- tests, and key formulas, symbols, and terms. The author is affiliated with the University of South Florida. Annotation copyrighted by Book News, Inc., Portland, OR.

Practical Statistics by Example Using Microsoft Excel


Practical Statistics by Example Using Microsoft Excel

Author: Terry Sincich

language: en

Publisher:

Release Date: 1999


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This manual includes an Excel primer providing basic instructions on using Windows and Excel. Excel Tutorials appear at the end of pertinent chapters. Self-test questions, key terms, formulas and symbols are included.

Mathematical Modeling with Excel


Mathematical Modeling with Excel

Author: Brian Albright

language: en

Publisher: CRC Press

Release Date: 2019-11-25


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This text presents a wide variety of common types of models found in other mathematical modeling texts, as well as some new types. However, the models are presented in a very unique format. A typical section begins with a general description of the scenario being modeled. The model is then built using the appropriate mathematical tools. Then it is implemented and analyzed in Excel via step-by-step instructions. In the exercises, we ask students to modify or refine the existing model, analyze it further, or adapt it to similar scenarios.