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Course Objective |
Basic statistical data analysis techniques, Errors, Accuracy, precision, systematic errors reduction, creating a calibration curve for chemical analysis, analytic signals, analysis, data analysis, monitoring techniques, Graphical methods, the method of least squares modeling, control and optimization techniques such as teaching. |
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Course Content
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Basic statistics, Errors, Accuracy, Accuracy, systematic error reduction, average and standard deviation, the distribution of random error, the reliability of the results, Confidence interval, a comparison of the results, T-Test, Variance analysis, and data dedeksiyon signal monitoring, signal estimation dedeksiyon limit, Wilcoxon Testing, tracking the signal, the curves overlap, the data correction, the small square polinomik correction, signal separation, calibration and chemical analysis, with the standard comparison, the calibration curve, for chemical analysis calibration curve creation, Analytical signal analysis, data analysis, monitoring techniques, graphical methods, the small square method for modeling, control and improvement
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