ENG302 Engineering Statistics (2+0+0 2 Units)

 

Probability and Statistics: Probability space, theorems.

Conditional probability and independence. random variables, discrete and continuous

distributions, mean and variance.

Bernoulli, Binomial, Poisson, hyper‐geometric, exponential, normal distributions and their characteristics.

Examples of experimental measurement and reliability. Elementary sampling theory for normal population.

Central limit theorem. Statistical inference (point and interval estimation and hypothesis testing)

on means, proportions and variances.

Power and operating characteristics of tests. Chi‐squares test of goodness of fit. Simple linear

regressions.

Elements statistics: Distribution and experiments: Law of large number; Numerical iteration

procedures, Revision of FORTRAN and BASIC in Engineering. Application programme in computer aided design of Electrical and Electronic systems.

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