Statistical Techniques for Data Analysis is a concise book that outlines the "practical" approach to data analysis and emphasizes the application of statistics. The book provides a basic understanding of statistical principles while explaining the use of statistics in data-based decision making. The information provided will allow you to maintain excellent quality assurance of measurements through statistical control. Statistical Techniques for Data Analysis is valuable for everyone who produces, uses, or evaluates scientific data, including analytical chemists, researchers, laboratory managers, and technicians. The book also may be used as a text in introductory courses to statistical analysis or as a supplement to undergraduate and graduate students.

Synopsis

This book outlines a practical approach to data analysis and emphasizes the application of statistics. It aims to provide a basic understanding of statistical principles while explaining the use of statistics in data-based decision-making. The overall aim is to show how a high standard of quality assurance of measurements can be maintained through statistical control. The book is aimed at anyone who produces, uses or evaluates scientific data - analytical chemists, researchers, laboratory managers and technicians. The book may also be used as a text in introductory courses to statistical analysis or as a supplement to undergraduate or graduate courses.

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