Emphasis on applications in business and economics. Statistical computing an integral part of course. STAT 205 Statistical Methods 4 credits 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. STAT 300 Statistical Methods and Theory 4 credits Exploratory data analysis, probability, estimation, classical statistical inference, regression, multiple regression.
Laboratory covers use of statistical packages.
MATH222 or MATH243. II 3 credits Distributions of common statistics, sampling techniques, estimation, confidence intervals, hypotheses testing and selected topics. Sampling Methods 3 credits 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. Emphasis on selection of proper procedure.