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