This is the first book to show the capabilities of Microsoft Excel to teach engineering statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical engineering problems. If understanding statistics isnt your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you.
Linear models are central to the practice of statistics and form the foundation of a vast range of statistical methodologies. Julian J. Faraway’s critically acclaimed Linear Models with R examined regression and analysis of variance, demonstrated the different methods available, and showed in which situations each one applies.
Too many projects? Want to organize them and evaluate them without getting buried under a mountain of statistics? This book will help you collect all your work, decide which projects you should do first, second and never. You’ll see how to tie your work to your organization’s mission and show your board, your managers, and your staff what you can accomplish and when. You’ll get a better view of the work you have, and learn how to make those difficult decisions, ensuring that all your strength is focused where it needs to be.
