OM 201 STATISTICS METHODS FOR MANAGEMENT
 Syllabus King Fahd University of Petroleum and Minerals College of Industrial Management Dhahran, Saudi Arabia Department of Management, Marketing and Operations Management Operations Management Group Course Syllabus for Statistics for Management I (OM 201) ___________________________________________________________________ First Session 2003-2004 (31) ___________________________________________________________________ Instructor : Dr. Jamal A. Al-Zayer Office No. : 24 / 228 Office Phone No : 860-2117 Class Hours: Section 1 SMW : 7:00-7:50 AM Section 2 SMW : 8:00-8:50 AM Section 3 SMW : 9:00-9:50 AM Class Location: Section 1 24-120 Section 2 24-116 Section 3-24-121 Office Hours: SMW : 10:00-11:30 AM (OTHER TIMES BY APPOINTMENT) ____________________________________________________________________ UNDERGRADUATE CURRICULUM COMMITTEE OM 201 STATISTICS FOR MANAGEMENT I (3-0-3) ____________________________________________________________________ CATALOG DESRCIPTION : Hypothesis testing for means and variances; index numbers and time series; linear simple and multiple regression and correlation analysis; the chi-squared and F distributions and their applications. TEXT BOOKS : 1) Statistics For Management, by R.I. Levin Seventh Edition. _____________________________________________________________________ GOAL & COURSE OBJECTIVES: This course is a continuation of OM 201. The student is assumed to have completed, successfull a basic statistics course. The course objective is to famlllarize the student with application oriented statistical analysis. In this respect the SAS Computer package will be used extensively throughout the course. Therefore, it is preferred that the student has taken IS 202 in order to comprehend the SAS programs which will be covered in this course. The students will be introduced to different topics in the field of STATISTICS. Hypothesis testing will be broadened. ANOVA, experimental design, simple and multiple regression, modeling techniques and time series will be introduced. Throughout the course, there will be emphasis on the application of statistical concepts to business problems and the use of statistics in the decision making context. SAS computer package, which is available on the Mainframe, and some other PC statistical packages will be used extensively. Topic to Covered Chapter 1 Introduction Chapter 2 Grouping and Displaying Data to Convey Meaning: Tables and Graphs Chapter 3 Measures of Central Tendency and Dispersion in Frequency Distributions Chapter 4 Probability I: Introductory Ideas Chapter 5 Probability Distributions Chapter 6 Sampling and Sampling Distributions Chapter 7 Estimations Chapter 8 Testing Hypothesis: One Sample Tests Chapter 10 Quality and Quality Control Chapter 16 Index Numbers Chapter 17 Decision Theory Grade Distribution Mid Term Exam 20 % Oct. 16 Second Exam 20 % DEC. 118 Class Quizzes 20 % (to be announced) Final Exam 35 % Homework, Attendance & Participation 5 % Grading is according to students grade distribution taking into consideration average and standard deviation. Grades will be standardized. Class Attendance: One point will be deducted from the final grade for each unexcused absence. More than 9 unexcused absences will automatically result in being dropped from the course with a WF grade.

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