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Data Analysis for Chemistry

An Introductory Guide for Students and Laboratory Scientists

By: D.Brynn Hibbert, J. Justn Gooding

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Paperback | 1 October 2005

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191 Pages

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23.39 x 15.6 x 1.04

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Chemical data analysis, with aspects of metrology in chemistry and chemometrics, is an evolving discipline where new and better ways of doing things are constantly being developed. This book makes data analysis simple by demystifying the language and whenever possible giving unambiguous ways of doing things.

Based on author D. Brynn Hibberts lectures on data analysis to undergraduates and graduate students, Data Analysis for Chemistry covers topics including measurements, means and confidence intervals, hypothesis testing, analysis of variance, and calibration models. The end result is a compromise between recipes of how to perform different aspects of data analysis, and basic information on the background principles behind the recipes to be performed. An entry level book targeted at learning and teaching undergraduate data analysis, Data Analysis for Chemistry makes it easy for readers to find the information they are seeking to perform the data analysis they think they need.

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You Can Find This Book In

Non-Fiction Mathematics Probability & Statistics Science Chemistry Analytical Chemistry Science in General Maths for Scientists Text Books Higher Education & Vocational Textbooks Biology and Sciences Higher Education Textbooks

Other Editions and Formats

Hardcover

Published: 1st October 2005

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Definitions, Questions, and Useful Functions: Where to Find Things and What To Do
Introduction
Describing Data
Hypothesis Testing
Analysis of Variance
Calibration
Table of Contents provided by Publisher. All Rights Reserved.

Data Analysis for Chemistry

An Introductory Guide for Students and Laboratory Scientists

At a Glance

Paperback

Shipping

How to return your order

Defective items

You Can Find This Book In

Other Editions and Formats

Hardcover

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