Error Analysis and Graphs

Jun 17th, 2015
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Experimental data contains uncertainties, and in computing results from them we wish to preserve the highest honestly allowable precision. Such calculated results should give both the value found the degree of uncertainty is this resultant value.

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Introduction to the Physics LaboratoryIn this laboratory youll do experiments that illustrate certain physical phenomena and give a glimpse of the experimental data supporting physical laws. I hope you will also experience some of the thrill of discovery that is the essence of physics.Error Analysis and GraphsExperimental data contains uncertainties, and in computing results from them we wish to preserve the highest honestly allowable precision. Such calculated results should give both the value found the degree of uncertainty is this resultant value. Many methods achieving this are found in many texts; a brief review of some of the simpler techniques is given below.Types of ErrorsErrors may be classified into two kinds, systematic and random. Systematic errors are likely to be constant and in the same direction. They are caused by faults in the apparatus or flaws in the observers technique. It is therefore frequently possible to discover them and reduce their magnitudes. As an example where systematic errors would influence a measurement, consider the measurement of length using a meter stick. If the meter stick had a distorted scale because it was badly made, or its length varied with environmental humidity or temperature, we would incur a systematic error in our length measurements if we were unaware of these facts. Random errors are those errors that are produced by unpredictable and unknown variations in t

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