Excel 2010 for business statistics: a guide to solving practical business problems

This is the first book to show the capabilities of Microsoft Excel to teach business statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical business problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in business courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2010 for Business Statistics: A Guide to Solving Practical Business Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand business problems. Practice problems are provided at the end of each chapter withtheir solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned. The reader will learn both how to write statistical formulas and how to use drop-down menus to have Excel create formulas. Includes 165 color screen shots so the reader can be sure to perform Excel steps correctly. Each chapter includes specific objectives for each concept so the reader know the purpose of the Excel steps. INDICE: Sample Size, Mean, Standard Deviation, and Standard Error of the Mean. Random Number Generator. Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing. One-Group t-Test for the Mean. Two-Group t-Test of the Difference of the Means for Independent Groups. Correlation and Simple Linear Regression. Multiple Correlation and Multiple Regression. One-Way Analysis of Variance (ANOVA).

• ISBN: 978-1-4419-9933-7
• Editorial: Springer New York
• Encuadernacion: Rústica
• Páginas: 200
• Fecha Publicación: 29/08/2011
• Nº Volúmenes: 1
• Idioma: Inglés