# Statistics for Management and Economics

**Topics:**Regression analysis, Probability distribution, Linear regression

**Pages:**25 (6145 words)

**Published:**March 22, 2013

Professor:

Term:

Sections:

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Contact Information:

Office Phone

Office Location

OPRE 6301/SYSM 6303 (cross-listed courses) FALL 2012

Carol A. Flannery, Ed.D.

Fall 2012

Friday

Tues/Thurs

Wednesday

Thursday

4:00 pm to 6:45 pm

11:30 am to 12:45 pm

1:00 pm to 3:45 pm

7:00 pm to 9:45 pm

SOM 1.217

SOM 2.106

SOM 1.117

SOM 1.212

972-883-5853 (Answered only during office hours)

JSOM 2.416

flannery@utdallas.edu

All contact concerning your class must be via eLearning class website. Email sent via eLearning is checked daily Monday through Friday. Voicemail on office phone is not checked daily.

Office Hours

Tuesday

Wednesday

Thursday

Friday

10:00 am to 11:15 am

11:30 am to 12:30 pm

10:00 am to 11:15 am and 6:00 pm to 6:45 pm

3:00 pm to 3:45 pm

Teaching Assistant

To be posted for each section on eLearning

Please note: Office hours are not to be used to reiterate a class that was missed. Have your questions or problems prepared before coming to see either your professor or TA. Written evidence you have attempted problems will be required.

General Course Information

Pre-requisite: MATH 5304 or equivalent

Course Description

OPRE 6301 Quantitative Introduction to Risk and Uncertainty in Business (3 semester hours) Introduction to statistical and probabilistic methods and theory applicable to situations faced by managers. Topics include: data presentation and summarization, regression analysis, fundamental probability theory and random variables, introductory decision analysis, estimation, confidence intervals, hypothesis testing, and One Way ANOVA (Some sections of this class may require a laptop computer). Prerequisite: MATH 5304 or equivalent. ( 3- 0) S

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Learning Objectives

Students are expected to develop skills on problem formulation, identification of appropriate statistical techniques, computer implementations in Excel and/or manual calculations and written explanations, and interpretation of empi rical results of the following and be able to:

1) Organize and summarize raw data;

2) Build and evaluate a regression model from raw data;

3) Apply the basic rules of Probability Theory;

4) Apply the concept of a random variable to solve business problems ; 5) Apply the Normal, Poisson, and Binomial Distributions to solve business problems ; 6) Simulate data from the Normal, Poisson, and Binomial;

7) Identify significant changes in averages and proportions

8) Determine if two populations have the same mean or the same proportion ; and 9) Determine if several populations have the same mean.

Required Text and Software

Textbook:

STATISTICS FOR MANAGEMENT AND ECONOMICS, 9th EDITION, by G. KELLER, 2012. (ISBN 10 digit: 0538477490 / ISBN 13 digit: 980538477499)

This is the required edition of the text. Any other editions will have different problems and/or chapter topics. Since your exam problems may contain textbook problems, you are risking a low exam grade by not having the correct edition. The required 9th edition will have an access code that will permit you to download the necessary Excel data files, Excel Workbooks, and Data Analysis Plus macros from t he Publisher’s website. If you have bought, or are buying a used 9th edition textbook, use the following procedure to obtain an online content access code:

1. Go to www.cengagebrain.com

2. In the search box at the top of the page, search "Statistics for Management and Economics 9th Edition". 3. Scroll down the search results until you find the following: "Online Content Instant Access Code for Keller's Statistics for Management and Economics, 9th Edition Keller

ISBN-10: 1-111-74841-1

ISBN-13: 978-1-111-74841-8

© 2012

The price is $34.95(subject to change), not including tax. After purchasing, the content is available instantly in your account. You will need to sign in with your email and the password you created. Software:

This course uses a Windows-based laptop,...

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