This course stresses the application of probability and statistics in business decision-making using cross sectional and historical data. The course begins with estimation and hypothesis testing for parameters of two populations. The Chi-square distribution is applied to contingency tables and the F distribution is applied to analysis of variance with emphasis on statistical decision-making models. Time series analysis, linear regression and correlation models are constructed and estimated. The traditional tests of statistical significance are applied, and the models are examined in light of the assumptions underlying the least-squares technique. The course will make active use of technology by requiring the use of computer software.
PREREQUISITE(S): MAT335; MIS102 or a working knowledge of a computer spreadsheet