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:	Naqeeb Ur Rehman
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-012
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	Syllabus presentation, Introduction to business economics research
2	Thinking like a researcher
3	The research process: an overview
4	Hypothesis testing theory I
5	Hypothesis testing theory II
6	Hypothesis testing theory III and review before Midterm Exam
7	Midterm Exam
8	ANOVA
9	ANOVA EXCEL
10	Correlation and linear regression
11	Correlation and liner regression (continued)
12	Linear regression EXCEL
13	Review before Final Exam
14	Final Exam

Prerequisite(s):	statistics-I
Textbook:	Anderson, Sweeny, Williams, Camm and Cochran, Essential of statistics for Business and Economics, 7th edition
Other References:
Laboratory Work:
Computer Usage:
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 Economics (3 years) Program
1	Students define the fundamental problems of economics	5
2	Students describe key economic theories	5
3	Students critically discuss current developments in economics	5
4	Students appropriately use software for data analysis	5
5	Students critically contextualize the selection of an economic problem for research within scholarly literature and theory on the topic	5
6	Students apply appropriate analytical methods to address economic problems	5
7	Students use effective communication skills in a variety of academic and professional contexts	5
8	Students effectively contribute to group work	5
9	Students conduct independent research under academic supervision	5
10	Students uphold ethical values in data collection, interpretation, and dissemination	5
11	Students critically engage with interdisciplinary innovations in social sciences	5
12	Student explain how their research has a broader social benefit	5

COURSE EVALUATION METHOD

Method	Quantity	Percentage
Midterm Exam(s)	1	40
Final Exam	1	60
Attendance		0
	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