R. Saltzman BUS 776: Data Analysis for Managers General Information Spring 2013 Professor Class Time Office Hours Contact Website Robert M. Saltzman, Ph.D. TH 6:30-9:15 pm in DTC 555 TH 5:55-6:25 pm in DTC 593 & TTH 1-3 pm in BUS 205C (main campus) Email: saltzman@sfsu.edu; Tel: (415) 338-1232; Fax: (415) 405-0364 http://ilearn.sfsu.edu Required Text & Software * Doane, D. & Seward, L., Essential Statistics in Business and Economics, 2E, McGraw-Hill/Irwin, ©2010. ISBN-13: 978-0-07-337365-2 * Microsoft Excel 2003 or later version Course Objectives Prerequisite Homework By the end of the course, you should be able to: Distinguish between categorical and quantitative data Create and interpret graphical views of data, and numeric measures of the center and spread Work with the basic rules of probability and several discrete and continuous probability distributions to answer questions about the likelihood of events Understand the purposes of interval estimation and hypothesis testing Analyze relationships between two quantitative variables by creating and interpreting scatterplots, correlation coefficients, and regression equations Perform all computations using spreadsheet software Classified graduate status in business. Mandatory Homework: Some weeks you’ll have an assignment requiring the use of Excel. These assignments should be printed out and turned in; I will grade and return them the following week. Late assignments will not be accepted. Optional Homework: I’ll recommend text problems in order to give you a chance to master the material. Although these won’t be collected, doing them will help you prepare for the assignments and exams. Solutions to odd-numbered exercises are given in Appendix G of the text. Solutions to all exercises will be posted to iLearn. Exams & Grading There will be two take-home midterms and a take-home cumulative final exam (due May 23, 2013) which will involve using MS Excel to solve relevant problems. No make-up exams or assignments will be given Late/missed exams and assignments will count as a 0 Final course grades will be based on the following: 100 points (22.2%) 7 Excel assignments 200 points (44.4%) 2 Midterm exams 150 points (33.3%) 1 Final exam 450 points