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. The book introduces the novice reader to the ideas and concepts of statistics and uses spectroscopic examples to show how these concepts are applied. Several key statistical concepts are introduced through the use of computer programs.

Key Features

Serves as a primer for all chemists who


All spectroscopists and those involved in statistics and analysis of data, both chemical and biological, especially those in chemistry, statistics, computer science and biology departments. Also relevant to the manufacturing, pharmaceutical, agricultural and textile industries, and all large corporations with analytical chemistry and chemical engineering departments.

Table of Contents

Preface Chapter 1 Introduction: Why this Book? Chapter 2 Important Concepts from Probability Theory Chapter 3 Populations and Samples: The Meaning of "Statistics" Chapter 4 Degrees of Freedom Chapter 5 Introduction to Distributors and Probability Sampling Chapter 6 The Normal Distribution Chapter 7 Alternative Ways to Calculate Standard Deviation Chapter 8 The Central Limit Theorem Chapter 9 Synthesis of Variance Chapter 10 Where are we and Where are we Going? Chapter 11 More and Different Statistics Chapter 12 The T Statistic Chapter 13 Distribution of Means Chapter 14 One-and Two-Tailed Tests Chapter 15 Philosophical Interlude Chapter 16 Biased and Unbiased Estimators Chapter 17 The Variance of Variance Chapter 18 Hypothesis Testing of Chi-Square Chapter 19 More Hypothesis Testing Chapter 20 Statistical Inferences Chapter 21 How to Count Chapter 22 And Still Counting Chapter 23 Contingency Tables Chapter 24 What do you Mean: Random? Chapter 25 The F Statistics Chapter 26 Precision and Accuracy: Introduction to Analysis of Variance Chapter 27 Analysis of Variance and Statistical Design of Experiments Chapter 28 Crossed and Nested Experiments Chapter 29 Miscellaneous Considerations Regarding Analysis of Variance Chapter 30 Pitfalls of Statistic Chapter 31 Pitfalls of Statistic Continued Chapter 32 Calibration in Spectroscopy Chapter 33 Calibration: Linear Regression as a Statistical Technique Chapter 34 Calibration: Error Sources in Calibration Chapter 35 Calibration: Selecting the Calibration Samples Chapter 36 Calibration: Developing the Calibration Model Chapter 37 Calibration: Auxiliary Statistics for the Calibration Model Chapter 38 The Beginning Index


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© 2003
Academic Press
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