{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}


OM-210-Summer2010-SYL-1 - OM-210 Statistical Analysis for...

Info iconThis preview shows pages 1–2. Sign up to view the full content.

View Full Document Right Arrow Icon
OM-210: Statistical Analysis for Management (Syllabus - Summer A, 2010) Instructor: Prof. Sid Das Office: 155, Enterprise Hall Phone: (703) 993-1790 E-Mail: [email protected] Fax: 703-993-1809 Course Website https://webct41.gmu.edu/webct/public/home.pl Web URL (Interactive Statistics Problems): http://mason.gmu.edu/~sdas/stats600/content1.htm Office Hours: 12:00 - 1:00 p.m., M-T-W-Th, or by appointment Prerequisite: MATH 108 or MATH 113; MIS 102 or IT 103 (can be a Co-requisite) Textbook: Anderson, Sweeney, and Williams, Essentials of Statistics for Business and Economics . 5th Edition, St. Paul: South-Western Publishing, 2009. NOTE: Prerequisites will be strictly enforced. Undergraduate Program Learning Goals (Goals addressed in this course are in bold ) 1. Our students will be competent in their discipline. 2. Our students will be aware of the uses of technology in business. 3. Our students will be effective communicators. 4. Our students will have an interdisciplinary perspective. 5. Our students will be knowledgeable about global business and trade. 6. Our students will recognize the importance of ethical decisions. 7. Our students will be knowledgeable about the legal environment of business. 8. Our students will be knowledgeable about team dynamics and the characteristics of effective teams. 9. Our students will understand the value of diversity and the importance of managing diversity in the context of business. 10. Our students will be critical thinkers. Course Objectives: This course examines the use of statistical methods as analytical tools for understanding and analyzing business problems, and for supporting business decision-making. Topics will include: Descriptive Statistics, Probability Distributions, Sampling and Sampling Distributions, Interval Estimation, Hypothesis Testing, Statistical Inference, Tests of Goodness of Fit and Independence, and Linear Regression. It is geared for the business professional engaged in decision making or decision support. The emphasis is on business applications, and not mathematics. The format will be lectures, but discussions and questions are highly encouraged. The basic learning objectives of this course are for students to: 1. Understand and apply statistical methodologies and techniques to solve typical business problems. 2. Understand a business situation and recognize the type of problem, to formulate the problem quantitatively, and to associate the appropriate probabilistic model and statistical technique.
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
Image of page 2
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}