On completion of this course the participants are expected to
UNIT I
Introduction to Descriptive Statistics-Probability Distribution – Introduction – Binomial Distribution-Poison Distribution-Normal Distribution- Correlation Analysis -Karl Pearson Correlation-Spearman Rank Correlation – Linear Regression - Multiple Regression
UNIT II
Hypothesis testing: Parametric and non–Parametric one sample and two sample tests for means and proportions of large samples (z–test) – One sample and two sample tests for means of small samples (t–test) – F–test for two sample standard deviations
UNIT III
Introduction to Linear Programming problems (LP) – LP Formulations – Graphical Solution – Simplex Method
UNIT IV
Introduction –Classification Of Models-Transportation Models-NWCR, LCM, VAM –MODI Method- Assignment Problem- Game theory: Saddle Point Determination, Dominance Property, Two Person Zero–sum Game
UNIT V
Project Management –Introduction-Networking Techniques – CPM and PERT- Queuing theory –Queuing Discipline: M/M/1 and M/M/1/∞ FCFS/ Models
Learning Resources
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