Imperial/Dry Lab/Data Analysis
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Data Analysis involves manipulating experimental data with the objective of extracting useful information. This then allows us to test our original hypotheses surrounding the problem, and in doing so, test the stringency/validity of our representative model. | Data Analysis involves manipulating experimental data with the objective of extracting useful information. This then allows us to test our original hypotheses surrounding the problem, and in doing so, test the stringency/validity of our representative model. | ||
If the model proves to be valid, data analysis, if successful, likewise provides a means of parameter extraction essential in rendering our the theoretical model more realistic (as it gleans parameters from actual expimental data). | If the model proves to be valid, data analysis, if successful, likewise provides a means of parameter extraction essential in rendering our the theoretical model more realistic (as it gleans parameters from actual expimental data). | ||
Revision as of 14:24, 22 October 2007
Data Analysis
Introduction
Data Analysis involves manipulating experimental data with the objective of extracting useful information. This then allows us to test our original hypotheses surrounding the problem, and in doing so, test the stringency/validity of our representative model. If the model proves to be valid, data analysis, if successful, likewise provides a means of parameter extraction essential in rendering our the theoretical model more realistic (as it gleans parameters from actual expimental data).
