Statistics for Physical Science and Engineering

At the end of this course, students should be able to: 1. know the empirical relation between means, median, and mode relationship and absolute dispersion; 2. know and relate finite probability space; properties of probability statistical independence and conditional probability; and 3. learn how to use statistical tool in measuring and analyse environmental variables.

Measures of central tendency and dispersion (grouped and ungrouped): mean-arithmetic, geometric, median, mode, qualities, deciles and percentiles. Empirical relation between means, median, and mode relationship and absolute dispersion. Simple space and events as sets. Finite probability space; properties of probability statistical independence and conditional probability. Tree diagram. Bayes theorem. Discrete and continuous random variables. Expectation. Independent Bernoulli trails. Binomial passion and normal distributions. Normal approximation to binomial and Poisson distributions. Hyper geometric.