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
Main Course Lecturer (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	Dr. Arjona Çela acela@epoka.edu.al , Friday 08:45-10:45
Second Course Lecturer(s) (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	NA
Language:	English
Compulsory/Elective:	Compulsory
Study program: (the study for which this course is offered)	Bachelor in Economics (3 years)
Classroom and Meeting Time:	B32
Teaching Assistant(s) and Office Hours:	NA
Code of Ethics:	Code of Ethics of EPOKA University Regulation of EPOKA University "On Student Discipline"
Attendance Requirement:	75%
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:	The major objective of this course is to increase the student data analysis skills using different statistical tools, both from descriptive and inferential statistics.

BASIC CONCEPTS OF THE COURSE

1	An interval estimate of a parameter is an interval or a range of values used to estimate the parameter
2	A statistical hypothesis is a conjecture about a population parameter. This conjecture may or may not be true.
3	If two independent samples are selected from two normally distributed populations in which the population variances are equal (𝜎 1 2 = 𝜎 2 2) and if the sample variances s1 2 and s2 2 are compared as s1 2_2s2 , the sampling distribution of the variances is called the F distribution.
4	A scatter plot is a graph of the ordered pairs (x, y) of numbers consisting of the independent variable x and the dependent variable y
5	The population correlation coefficient denoted by the Greek letter 𝜌 is the correlation computed by using all possible pairs of data values (x, y) taken from a population
6	A multiple regression equation with two independent variables (x1 and x2)
7	The one-way analysis of variance test is used to test the equality of three or more means using sample variances.
8	The two-way ANOVA is an extension of the one-way analysis of variance; it involves two independent variables. The independent variables are also called factors.
9	The Spearman rank correlation coefficient is a nonparametric statistic that uses ranks to determine if there is a relationship between two variables.
10	The sign test for a single sample is a nonparametric test used to test the value of a population median.

COURSE OUTLINE

Week	Topics
1	Introduction to syllabus
2	Chapter 7 Confidence Intervals and sample size. 7.1Confidence Intervals for the Mean When σ Is Known. pg370-382 7.2 onfidence Intervals for the Mean When σ Is Unknown pg383-389
3	Chapter 7 Confidence Intervals and sample size. 7.3 Confidence Intervals and Sample Size for Proportions. pg 391-397 7.4 Confidence Intervals for Variances and Standard Deviations pg398-404
4	Chapter 8 Hypothesis testing. 8.1 Steps in Hypothesis Testing—Traditional Method. Pg414-425 8.2 z Test for a Mean Pg426-441 8.3 t Test for a Mean Pg442-452
5	Chapter 8 Hypothesis testing. 8.4 z Test for a Proportion pg453-460 8.5 𝛘2 Test for a Variance or Standard Deviation Pg461-473 8.6 Additional Topics Regarding Hypothesis Testing Pg474-478
6	Chapter 9 Testing the difference between two means, two proportions and two variances 9.1 Testing the Difference Between Two Means: Using the z Test Pg488-499 9.2 Testing the Difference Between Two Means of Independent Samples: Using the t Test Pg499-507
7	Chapter 9 Testing the difference between two means, two proportions and two variances 9.3 Testing the Difference Between Two Means: Dependent Samples Pg 507-519 9.4 Testing the Difference Between Proportions Pg 519-527 9.5 Testing the Difference Between Two Variances Pg528-539
8	Chapter 10 Correlation and regression 10.1 Scatter Plots and Correlation Pg 548-563 10.2 Regression Pg 563-580
9	Midterm Exam
10	Chapter 10 Correlation and regression 10.3 Coefficient of Determination and Standard Error of the Estimate Pg.580-590 10.4 Multiple Regression (Optional) Pg591-599
11	Chapter 12 Analysis of Variance 12.1 One-Way Analysis of Variance Pg646-658 12.2 The Scheffé Test and the Tukey Test Pg658-661 12.3 Two-Way Analysis of  Variance Pg662-675
12	Chapter 13 Nonparametric Statistics 13.1 Advantages and Disadvantages of Nonparametric Methods Pg686-688 13.2 The Sign Test Pg689-697 13.3 he Wilcoxon Rank Sum Test Pg698-702
13	Chapter 13 Nonparametric Statistics 13.4 The Wilcoxon Signed-Rank Test Pg703-707 13.5 The Kruskal-Wallis Test Pg708-715 13.6 The Spearman Rank Correlation Coefficient and the Runs Test Pg715-729
14	Presentation of projects and reveiw for final exam

Prerequisite(s):	Na
Textbook(s):	Elementary Statistics by Allan G. Bluman, 10th ed., McGraw Hill
Additional Literature:	Na
Laboratory Work:	Yes
Computer Usage:	Yes
Others:	No

COURSE LEARNING OUTCOMES

1	To understand and apply the concept of hypothesis testing which includes developing and interpreting the results of the hypothesis testing.
2	To understand and be able to make comparisons between means, experimental design and analysis of variance
3	To understand and be able to make comparisons involving proportions and test of independence
4	To understand and be able to do simple linear regression and all of its analysis techniques
5	All of the above mentioned topics and objective to be applied through practical case studies by using the corresponding statistical software.

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
2	Students describe key economic theories
3	Students critically discuss current developments in economics
4	Students appropriately use software for data analysis
5	Students critically contextualize the selection of an economic problem for research within scholarly literature and theory on the topic
6	Students apply appropriate analytical methods to address economic problems
7	Students use effective communication skills in a variety of academic and professional contexts
8	Students effectively contribute to group work
9	Students conduct independent research under academic supervision
10	Students uphold ethical values in data collection, interpretation, and dissemination
11	Students critically engage with interdisciplinary innovations in social sciences
12	Student explain how their research has a broader social benefit

COURSE EVALUATION METHOD

Method	Quantity	Percentage
Midterm Exam(s)	1	35
Project	1	15
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	4	64
Hours for off-the-classroom study (Pre-study, practice)	16	2	32
Mid-terms	1	17	17
Assignments			0
Final examination	1	12	12
Other			0
Total Work Load:			125
Total Work Load/25(h):			5
ECTS Credit of the Course:			5

CONCLUDING REMARKS BY THE COURSE LECTURER