Descriptive statistics, point and interval estimation, tests of hypotheses, regression, analysis of variance, categorical data analysis, nonparametric inference, quality control, acceptance sampling, and reliability analysis. Use of computer packages in the statistical analysis of data. Topics include data entry, checking, and manipulation, as well as the use of computer statistical packages for regression and analysis of variance. Introduction to the design and analysis of sample surveys. Analytical methods include sample size determination, ratio and regression estimation, imputation of missing data, and nonsampling error adjustment.
Applications are to the decision, information, and social sciences, and engineering.
Class project involves an actual survey. STAT 250, DESC 202, or equivalent. Introduction to theory and research bearing on decisions made under uncertainty. Illustrations of the importance and interpretation of the uncertainty and value ingredients of choice are drawn from a number of contexts including business, medicine, law, and science. Topics include issues in the generation, assessment, and combination of these decision ingredients.