I 3 Probability, estimation, classical statistical inference and data analysis. STAT 205 Statistical Methods 4 Descriptive statistics, graphical displays, sampling, variation, normal distribution, estimation, hypothesis testing, one-way analysis of variance, simple linear regression and goodness of fit.
Laboratory covers use of statistical packages on mainframe and microcomputers.
I 3 Basic probability, continuous, discrete and joint distributions, distribution of functions of random variables, order statistics, expected value and central limit theorem. MATH222 or MATH243. II 3 Distributions of common statistics, sampling techniques, estimation, confidenceintervals, hypotheses testing and selected topics. Sampling Methods 3 Types of sampling, census vs. survey, methods of sample selection, sampling and non-sampling errors. Planning and execution of surveys, and data collection in selected fields of application.