LOG OM 5300 Statistical Analysis for Business Decisions
Syllabus
Spring 2013

Section G01 (11477): T 1855-2135, 132 SSB
Instructor: Dr. Alan C. Wheeler
Office: ESH 230, 516-6136, awheel@umsl.edu
Office hours: MW 1230-1330; T 1400-1500, 1745-1845; or by appointment
Text: Statistics for Business and Economics, revised 11th edition, by David R. Anderson, Dennis J. Sweeney, and Thomas A. Williams, South-Western
Calculator: hand-held with keys for natural logarithm, mean, and standard deviation
Course Description: The role of statistical evidence in the formation of inference and in the selection of strategies in solving business problems is developed. Probability and probability distributions are studied as a basis of statistical inference. An introduction to multivariate analysis is provided, which includes analysis of variance and regression methods.
Specifically, the course covers in order most of the material in the following chapters of the text:

Chapter Topic 1 Data and Statistics 2 Descriptive Statistics: Tabular and Graphical Presentations 3 Descriptive Statistics: Numerical Measures 4 Introduction to Probability 5 Discrete Probability Distributions 6 Continuous Probability Distributions 7 Sampling and Sampling Distributions 8 Interval Estimation 9 Hypothesis Tests 10 Statistical Inference About Means and Proportions With Two Populations 11 Inferences About Population Variances 12 Tests of Goodness of Fit and Independence
14 Simple Linear Regression
15 Multiple Regression
17 Index Numbers

Prerequisites: INFSYS 5800 (may be taken concurrently) and ECON 4105 with a minimum grade of a C.
Course Objectives: Students will develop sufficient skills in using basic statistical methods that they can apply them to real problems. They will be able to demonstrate their mastery of this material by