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Statistical Applications in Engineering (IENG385)

Collection and Presentation of data, descriptive measures, Sampling in industrial production, Parametric and Non parametric estimation of product and process parameters, Properties of a good estimator, Minimum Variance Unbiased estimator, confidence intervals for small and large samples, Hypotheses Testing of process parameters with specific references to industrial production, Correlation and Regression Analysis

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