COURSE DESCRIPTION AND APPLICATION INFORMATION

Course Name Code Semester T+A+L (hour/week) Type (C / O) Local Credit ECTS
Statistics MAN 201 Fall 03+00+00 Elective 3 6
Academic Unit: Business Administration
Mode of Delivery: Face to face
Prerequisites: None
Language of Instruction: English
Level of Course Unit: Undergraduate
Course Coordinator: - -
Course Objectives: 1. An understanding of fundamental concepts of statistics. 2. Apply proficiently various statistical methods to data. 3. Understand probability theory and be able to use it for solving problems encountered in business. 4. A basic understanding of Computer Applications Excel and skill in use of this application to solve statistical problems. 5. Becoming familiar with statistical methods used for collecting, analyzing, and interpreting data and interpret statistical results.
Course Contents: An introduction to descriptive and inferential statistical concepts and methods for the purpose of decision making in business and social sciences. Topics include grouping of data, measures of central tendency and dispersion, probability concepts, sampling, statistical estimation, and statistical hypothesis testing.
Learning Outcomes of the Course Unit (LO):
  • 1- Ability to present and interpret data for people not familiar with statistics
  • 2- Ability to identify the appropriate statistical technique for the analysis of data.
  • 3- Understand how to use the computer (e.g., MS Excel, R, Matlab etc.) for data analysis.
  • 4- Ability to use statistical techniques covered will include Z-tests, t-tests, correlation and simple regression.
Planned Learning Activities and Teaching Methods: Homeworks, Projects, Lab. Works


WEEKLY SUBJECTS AND RELATED PREPARATIONS

WeekSubjectsRelated Preperation
1 Introduction and Describing Data: Frequency Tables, Distributions and Graphic Presentation Chapter 1-2
2 Describing Data: Numerical Measures Chapter 3
3 Describing Data: Displaying and Exploring Data Chapter 4
4 A Survey of Probability Concepts Chapter 5
5 Discrete Probability Distributions Chapter 6
6 A Review of Chapters 1 - 5
7 Continous Probability Distributions Chapter 7
8 Sampling Methods and Central Limit Theorem Chapter 8
9 Estimation and Confidence Intervals Chapter 9
10 One- Sample Tests of Hypothesis Chapter 10
11 Data Set Exercises using Excel
12 Two-Sample Tests of Hypothesis Chapter 11
13 Analysis of Variance Chapter 12
14 A Review of Chapters 7 - 12


REQUIRED AND RECOMMENDED READING

Statistical Techniques in Business and Economics, McGraw-Hill, Fourth Edition, 2009.


OTHER COURSE RESOURCES

Business Statistics: A Decision-Making Approach; Groebner, Shannon, Fry & Smith;
Pearson-Prentice Hall, Sixth Edition, 2005 (or Seventh Edition).
OR any other basic Business Statistics textbook


ASSESSMENT METHODS AND CRITERIA

Semester RequirementsNumberPercentage of Grade (%)
Homework Assignments 5 10
Midterms / Oral Exams / Quizes 1 40
Final Exam 1 50
Total: 7 100


WORKLOAD

EventsCountDuration (Hours)Total Workload (hour)
Course Hours14342
Extra-Class Activities (reading,individiual work, etc.)5525
Midterms / Oral Exams / Quizes14040
Final Exam14343
Total Workload (hour):150


THE RELATIONSHIP BETWEEN COURSE LEARNING OUTCOMES (LO) AND PROGRAM QUALIFICATIONS (PQ)

# PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9 PQ10
LO1                    
LO2                    
LO3                    
LO4