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.
MATH222 or MATH243. II 3 Distributions of common statistics, sampling techniques, estimation, confidence intervals, 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. Techniques of exploratory and graphical data analysis for univariate and multivariate data sets, and numerical and categorical variables.