Variation. Problem Solving. Looking at Data. Modeling Data. Attribute Data. Sampling. Estimation. Regression Analysis. Multiple Regression. Forecasting. Statistical Process Control. Control Charts. Improvement Strategies. Postscript. Introduction to Excel.</div> <br> Abstract: <div class
Statistical Thinking in Business, Second Edition
โ Scribed by John, J. A.; Johnson, D.G; Whitaker, D
- Publisher
- CRC Press
- Year
- 2005
- Tongue
- English
- Leaves
- 400
- Edition
- 2nd ed
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Variation. Problem Solving. Looking at Data. Modeling Data. Attribute Data. Sampling. Estimation. Regression Analysis. Multiple Regression. Forecasting. Statistical Process Control. Control Charts. Improvement Strategies. Postscript. Introduction to Excel.
Abstract:
โฆ Table of Contents
Content: Front cover
CONTENTS
PREFACE
Chapter 1. Variation
Chapter 2. Problem Solving
Chapter 3. Looking at Data
Chapter 4. Modelling Data
Chapter 5. Attribute Data
Chapter 6. Sampling
Chapter 7. Estimation
Chapter 8. Regression Analysis
Chapter 9. Multiple Regression
Chapter 10. Forecasting
Chapter 11. Statistical Process Control
Chapter 12. Control Charts
Chapter 13. Improvement Strategies
Postscript
Appendix. Statistical Tables
Bibliography and Further Reading
Back Cover
โฆ Subjects
Commercial statistics.
๐ SIMILAR VOLUMES
Statistics in Spectroscopy, Second Edition, is an expanded and updated version of the original title. The aim of the book is to bridge the gap between the average chemist/spectroscopist and the study of statistics. This second edition differs from the first in that expanded chapters are incorporated
Medicine deals with treatments that work often but not always, so treatment success must be based on probability. Statistical methods lift medical research from the anecdotal to measured levels of probability. This book presents the common statistical methods used in 90% of medical research, along
Drug development is the process of finding and producing therapeutically useful pharmaceuticals, turning them into safe and effective medicine, and producing reliable information regarding the appropriate dosage and dosing intervals. With regulatory authorities demanding increasingly higher standard
Praise for the First Edition</p><p> " . . . the book is a valuable addition to the literature in the field, serving as a much-needed guide for both clinicians and advanced students."?Zentralblatt MATH</p><p> A new edition of the cutting-edge guide to diagnostic tests in medical research</p><p> In re