Quirk T.J. Excel 2019 for Engineering Statistics: A Guide to Solving Practical Problems

2nd. ed. - Springer, 2020. - 259 p. - (Excel for Statistics). - ISBN: 3030392775.Excel 2019 for Engineering Statistics: A Guide to Solving Practical Problems updates the Excel steps and screenshots from the previously published Excel 2016 for Engineering Statistics: A Guide to Solving Practical Problems, and it contains a number of important changes. The explanations of statistics and statistical formulas have been made clearer. The Excel steps now match perfectly the Excel 2019 version. Thirty percent of the end-of-chapter problems, and their answers in an Appendix, are new to this book. Thirty percent of the 160+ screenshots are new so that they match the new Excel commands to ensure that you are using Excelcorrectly each step of the way.
The eight chapters in the book (Mean, Standard Deviation, and Standard Error of the Mean; Random Sampling; Confidence Interval about the Mean; One-Group t-test; Two Group t-test; Correlation and Linear Regression; Multiple Correlation; and One-Way Analysis of Variance) have been rewritten to improve their explanation of statistics. The answers to all of the problems in the book are provided, and there is a Practice Test so that you can test your ability to solve statistics problems using Excel. This book is an introduction to statistics, not a full-blown explanation of statistics.
A word of caution: This book does not attempt to teach you all of the “bells and whistles” of Excel 2019. We have left that objective to other books. Instead, this book will teach you the Excel steps you need to solve the interesting problems in the book. This book will teach you the general concepts of statistics without burying you in dull statistical theory. You will learn why you are performing the Excel steps through the objectives included in the chapters. The statistical concepts and practice problems get progressively more sophisticated as they build on what you have already learned from studying this book. This book is understandable by both undergraduate and graduate students who are taking their first course in statistics, by researchers, and by working professionals who want to solve interesting problems in their chosen field of study.True PDF