Emphasis is on applications in business and economics. Statistical computing is an integral part of this course. 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.