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Data Handling

Introduction

Since analytical chemistry is the science of making quantitative measurements, it is important that raw data is manipulated and reported correctly to give a realistic estimate of the uncertainty in a result.

Simple data manipulations may only require keeping track of significant figures. More complicated calculations require propagation-of-error methods.

The uncertainity in a result can be categorized into random error and systematic error.

See the statistical formula document for more quantitative descriptions of describing and testing data sets.


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