Models and methods based on probability and statistics for industrial engineering applications; random variables, expectation, distribution fitting, reliability of systems, central limit theorem and interval estimates in the context of production and service systems. Prerequisites: Grade of C or better in ISEN 230 or concurrent enrollment; grade of C or better in STAT 211 Credits 3. 3 Lecture Hours.
Models and methods based on probability and statistics for industrial engineering applications; random variables, expectation, distribution fitting, reliability of systems, central limit theorem and interval estimates in the context of production and service systems. Prerequisites: Grade of C or better in ISEN 230 or concurrent enrollment; grade of C or better in STAT 211 Credits 3. 3 Lecture Hours.
