Department of Statistics

Recent Instructors Dutton, J Reich, B	ST (BUS) 350	Economics and Business Statistics
	Course Description Introduction to statistics applied to management, accounting, and economic problems. Emphasis is placed on statistical estimation, inference, simple and multiple regression, and analysis of variance. Use of computers to apply statistical methods to problems encountered in management and economics. Course Syllabus Data Analysis And Modern Management Organizing Data Data distributions Constructing data distributions Histograms: displaying data distributions Summarizing data distributions Summarizing symmetric histograms Summarizing skewed histograms Drawing conclusions from data Probability: dealing with uncertainty Random variables and generic probability distributions Normal probability distributions Sampling and sampling distributions Populations and samples Simple random sampling: Producing data Sampling from Normal populations Central Limit Theorem: Non-Normal populations Inference for means: What do the data say? Estimators: Best guesses Confidence intervals: Estimating with confidence Tests of hypotheses: Special cause vs. random variation Comparing two populations: Are they different? Exploring relationships in data Summarizing relationships in data Scatter diagrams: Looking at relationships Covariance and correlation: Measuring strength Least squares method: Fitting lines to data Trend lines: Looking at changes over time Regression analysis The regression model Partitioning variation: How much is explained? Estimating and reading regression results Multiple regression: Adding more variables Inference for regression: Is there a relationship? Predictions: Using the regression model Categorical Data Binomial probability distributions Inference for proportions Contingency tables Course Prerequisites MA 114 College of Management majors must have passed Software Applications Proficiency Requirement Course Corequisites None Recent Textbooks Statistics for Management and Economics, 6 ed., by Gerald Keller and Brian Warrack