1. NAME OF COURSE  / MODULE BUSINESS STATISTICS
2. COURSE CODE MDB2013
4. RATIONALE FOR THE INCLUSION OF THE COURSE/MODULE IN THE PROGRAMME This course is a foundation of knowledge of basic application statistics in business. In addition, this course provides a platform on the relevancy of statistics in business decision.
5. SEMESTER & YEAR OFFERED Semester 4 / Year 2 & Semester 5 / Year 3
6. TOTAL STUDENT LEARNING TIME (SLT) Face to face:

 L T P O 28 23 – 8

L=lecture ; T=Tutorial; P=Practical; O=Others (Exam)

Total Guided and Independent Learning:

 120
7. CREDIT VALUE 120/40 = 3.00 (3 credit); 2+2
8. PREREQUISITE (IF ANY) NIL
9. OBJECTIVES 1.To familiarize students with concepts involve in statistical information, probability theory,

2.various statistical, distributions, sampling technique, confidence interval and hypothesis testing

3.To guide students to compute, perform data analysis and provide inferences for descriptive measures of statistical data.

4.To encourage students to participate in decision making by applying various statistical techniques.

10. LEARNING OUTCOMES After completing this course, the students should be able:

1.to explain statistical information, probability theory, various statistical, distributions, sampling technique, confidence interval and hypothesis testing (LO1-C2: A2)
2.to compute and provide inferences for descriptive measures of statistical data (LO2: P3,A3)
3.to verbally communicate with peers and lecturer on the project assign (LO4-CS3: P3)
4.to participate in decision making by applying various statistical techniques (LO6-EM2:A2).

11. TRANSFERABLE SKILLS Student should be able to develop a good understanding of background in business statistics through a process of lectures, tutorial and group assignment.
12. TEACHING-LEARNING AND ASSESSMENT STRATEGY Teaching-learning strategy:

· The course will be taught through a combination of formal lectures, exercise, group work, using authentic materials, informal activities and various textbooks. Collaborative teamwork will be fosters throughout the course. The use of examination and internal reporting assessment will assess the student’s ability to apply theoretical concept in context.

Assessment strategy:
· Formative – tutorials, assignment and projects, quizzes, mid-semester exam and final semester exam
· Summative – in-class exercises, observation, participation and Q & A session

13. SYNOPSIS The aim of this course is to provide a frame of reference for business major students on the importance of the statistics discipline in helping businesses make decisions or formulate strategies. The relevance of knowledge in statistics in accounting, finance, information systems, management and marketing is exposed. This course therefore focuses on the application of the various topics of statistics in businesses in their normal operation. This includes presentation of data, interpretation of results, presentation and evaluation of assumptions and strategies to adopt to overcome problems when assumptions are violated.

The integration of statistical software decrease the need for manual computation and students can devote more time on the interpretation of results. Students are however encouraged to master manual calculations in order to appreciate the statistical concepts. Students are expected to be able to recognize the statistical approaches to adopt when presented with statistical data. Therefore they are expected be able to recognize the business problems, formulate hypothesis and determine test methods and statistics involved and provide sound business interpretations in order to be able to impart advice based on the presented data

14. MODE OF DELIVERY Lectures and tutorial (SCL)
15. ASSESSMENT METHODS AND TYPES
 Component % Continuous Assessment 50 Final examination 50 Total 100
16. CONTENT OUTLINE OF THE COURSE/MODULE AND SLT PER TOPIC
 Topic Lecture Tutorial Test/Quiz/Exam Assignment Assessment(Library Search) Self-study Total Introduction 2 1 3 6 Presentation of Information/data 2 1 3 6 Descriptive Measures for Numerical Data 4 2 6 12 Basic Probability Theory 2 3 3 8 Various Continuous Distributions 4 3 6 13 The Normal Distributions 4 2 6 12 Confidence Interval 4 2 6 12 Hypothesis Testing 4 3 6 13 Simple Linear Regression 2 3 3 8 Continuous Test/Quiz/Assessment 5 10 15 FINAL 3 9 12 TOTAL 28 23 8 0 19 42 120
17. REFERENCES: Main reference:

1.Lind, Douglas A., Marchal, William G., and Wathen, Samuel A. 2013. Statistical Techniques in Business & Economics, Fifteenth Edition. McGraw Hill. Boston U.S.A.