ENG302 Engineering Statistics ( 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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