COURSE INFORMATION
Course Title: STATISTICS II
Code Course Type Regular Semester Theory Practice Lab Credits ECTS
BUS 202 A 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
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:
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 hypothesis testing and regression analysis. At the end of the course, student should be able to build their own statistical model for data analysis.
COURSE OUTLINE
Week Topics
1 Sampling and Sampling Distributions
2 Hypothesis tests (population standard deviation is known)
3 Hypothesis tests (population standard deviation is unknown)
4 Exercises
5 Comparison of means (Inferences about the difference between two populations means)
6 Exercises
7 Quiz 1 and Review
8 Mid Term
9 Comparison of means (experimental design and ANOVA)
10 Test of independence
11 Simple linear regression
12 Multiple linear regression
13 Exercises
14 Quiz 2 and Review
Prerequisite(s): statistics-I
Textbook: Anderson, Sweeny, Williams, Camm and Cochran, Essential of statistics for Business and Economics, 7th edition
Other References:
Laboratory Work: YES
Computer Usage: SPSS
Others: No
COURSE LEARNING OUTCOMES
1 Hypothesis testing
2 Regression analysis
3 survey design
COURSE CONTRIBUTION TO... PROGRAM COMPETENCIES
(Blank : no contribution, 1: least contribution ... 5: highest contribution)
No Program Competencies Cont.
Bachelor in Business Informatics (3 years) Program
1 Identify activities, tasks, and skills in management, marketing, accounting, finance, and economics. 1
2 Apply key theories to practical problems within the global business context. 1
3 Demonstrate ethical, social, and legal responsibilities in organizations. 1
4 Develop an open minded-attitude through continuous learning and team-work. 1
5 Integrate different skills and approaches to be used in decision making and data management. 1
6 Combine computer skills with managerial skills, in the analysis of large amounts of data. 1
7 Provide solutions to complex information technology problems. 1
8 Recognize, analyze, and suggest various types of information-communication systems/services that are encountered in everyday life and in the business world. 1
COURSE EVALUATION METHOD
Method Quantity Percentage
Midterm Exam(s)
1
30
Quiz
2
10
Final Exam
1
45
Attendance
5
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