APPLIED STATISTICS (4 Credits)
Learning Outcomes:
On successful completion of this course, student will be able to: Apply mathematics, science and engineering to the Industrial Engineering domain; Collect and analyze the data used in designing and conducting experiments; Explain problems through Industrial Engineering approaches; Evaluate of contemporary Industrial Engineering related issues.
Topics:
- Inferences on a Population Mean;
- Comparing Two Population Means;
- Discrete Data Analysis;
- The Analysis of Variance;
- Simple Linear Regression and Correlation;
- Cases Some Problems 1;
- Multiple Linear Regression and Non Linear Regression;
- Multifactor Experimental Design and Analysis;
- Non Parametric Statistical Analysis;
- Quality Control Methods;
- Reliability Analysis and Life Testing;
- Cases Some Problems 2.
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