COURSE INFORMATION Course Title: STATISTICS II

Code	Course Type	Regular Semester	Theory	Practice	Lab	Credits	ECTS
BUS 202	B	4	4	0	0	4	5

Academic staff member responsible for the design of the course syllabus (name, surname, academic title/scientific degree, email address and signature)	NA
Lecturer (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	Moustapha Daouda Dala , 9:00-17:00
Second Lecturer(s) (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	NA
Teaching Assistant(s) and Office Hours:	NA
Language:	English
Compulsory/Elective:	Compulsory
Classroom and Meeting Time:	E 314
Course Description:	Statistics II: The aim of the courses is that inference making in Business. The objective of the course is to help students to understand theoretical characteristics of statistical methods and develop practical knowledge and skills to analyze the business data.
Course Objectives:	This course is specifically designed to provide knowledge related to intervals of confidence, hypothesis testing and regression analysis. At the end of the course, student should be able to understand the fundamentals of statistical inference.

COURSE OUTLINE

Week	Topics
1	Sampling from finite and infinite population
2	Point estimation and Sampling distribution
3	Interval estimation
4	Hypothesis tests (population standard deviation is known)
5	Hypothesis tests (population standard deviation is unknown)
6	Exercises
7	Review and Quiz 1
8	Midterm exam
9	Comparison of means (Inferences about the difference between two populations means)
10	Comparison of means (Inferences about the difference between MORE THAN two populations means: experimental design and ANOVA)
11	Test of independence
12	Simple Linear Regression
13	Exercises
14	Review and Quiz 2

Prerequisite(s):	Statistics I
Textbook:	Anderson, Sweeny, Williams, Camm and Cochran, Essential of statistics for Business and Economics, 7th edition
Other References:	Essentials of Statistics for Business and Economics, 6th Edition, David R. Anderson; Dennis J, Sweeney; Thomas A, Williams; Jeffrey D. Camm; James J. Cochran, 2011
Laboratory Work:
Computer Usage:
Others:	No

COURSE LEARNING OUTCOMES

1	Confidence Intervals
2	Hypothesis testing
3	Regression Analysis

COURSE CONTRIBUTION TO... PROGRAM COMPETENCIES (Blank : no contribution, 1: least contribution ... 5: highest contribution)

No	Program Competencies	Cont.
Bachelor in Business Administration (3 years) Program
1	Identify activities, tasks, and skills in management, marketing, accounting, finance, and economics.	5
2	Apply key theories to practical problems within the global business context.	5
3	Demonstrate ethical, social, and legal responsibilities in organizations.	5
4	Develop an open minded-attitude through continuous learning and team-work.	5
5	Use technology to enable business growth and sustainability.	5
6	Analyze data to make effective decisions.	5

COURSE EVALUATION METHOD

Method	Quantity	Percentage
Midterm Exam(s)	1	30
Quiz	2	10
Final Exam	1	40
Attendance		10
	Total Percent:	100%

ECTS (ALLOCATED BASED ON STUDENT WORKLOAD)

Activities	Quantity	Duration(Hours)	Total Workload(Hours)
Course Duration (Including the exam week: 16x Total course hours)	16	3	48
Hours for off-the-classroom study (Pre-study, practice)	2	20	40
Mid-terms	1	15	15
Assignments	1	7	7
Final examination	1	15	15
Other			0
Total Work Load:			125
Total Work Load/25(h):			5
ECTS Credit of the Course:			5