非常好的英语资料--DATA ANALYSIS FOR CHEMISTRY

--An Introductory Guide for Students and Laboratory Scientists （Oxford University Press） at the very least, some basic information on the background principles behind the recipes to be performed. In the end we both agree that for data analysis to be performed properly, like any science, it cannot be treated as a black box but for the novice to understand how to perform a specific test how to perform it must be unambiguous. So who should use this book? Anybody who thinks they don’t really understand data analysis and how to apply it in chemistry. If you really do understand data analysis, then you may find the explanations in the book too simple and the scope too limited. We see this as very much an entry level book which is targeted at learning and teaching undergraduate data analysis. We have tried to make it easy for the reader to find the information they are seeking to perform the data analysis they think they need. To do this we have put the glossary at the beginning of the book with directions to where in the book a certain concept is located. We also add in this initial Readers’ Guide frequently asked questions (FAQs) with brief answers and directions to where more detailed answers are located, and a list of useful Microsoft Excel functions. Hopefully together these three sections will help you find out how to do things like when your lecturer tells you to ‘‘measure a calibration curve and then determine the uncertainty in your measurement of your unknown.’’ If after looking through this book, and then sitting down to work through the examples, you still are saying ‘‘How?’’ then we haven’t quite achieved our objective.