Engineering Probability & Statistics

Outline Syllabus:

  • Theory of sets
  • Samples and their tabular representations together with their mean values
  • Expected and median values
  • Variance
  • Combination and permutation and related theorems
  • Random Variables
  • Probability density function and cumulative distribution function
  • Binomial, Poisson and Normal distributaries
  • Multi-Variable distribution function
  • Random Numbers
  • Random Sampling
  • Estimation of statistical parameters
  • Decision hypothesis
  • Variance analysis
  • Regression
  • Correlation
  • Nonparametric Method

Credits: 3

Pre-requisites:

  • Math I

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