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)	Dr. Fatbardha Morina fmorina@epoka.edu.al
Main Course Lecturer (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	Dr. Fatbardha Morina fmorina@epoka.edu.al , 08:30-16:30
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:	E 314
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:	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.

BASIC CONCEPTS OF THE COURSE

1	confidence interval - a specific interval estimate of a parameter determined by using data obtained from a sample and the specific confidence level of the estimate
2	degrees of freedom - the number of values that are free to vary after a sample statistic has been computed; used when a distribution (such as the t distribution) consists of a family of curves
3	disordinal interaction- an interaction between variables in ANOVA, indicated when the graphs of the lines connecting the mean intersect
4	explanatory variable - a variable that is being manipulated by the researcher to see if it affects the outcome variable
5	independence test - a chi-square test used to test the independence of two variables when data are tabulated in table form in terms of frequencies
6	left-tailed test - a test used on a hypothesis when the critical region is on the left side of the distribution
7	parametric tests - statistical tests for population parameters such as means, variances, and proportions that involve assumptions about the populations from which the samples were selected
8	type I error - the error that occurs if you reject the null hypothesis when it is true
9	type II error - the error that occurs if you do not reject the null hypothesis when it is false
10	t distribution - a family of bell-shaped curves based on degrees of freedom, similar to the standard normal distribution with the exception that the variance is greater than 1; used when you are testing small samples and when the population standard deviation is unknown

COURSE OUTLINE

Week	Topics
1	Introduction to syllabus
2	Chapter 7: 7–1 Confidence Intervals for the Mean When σ Is Known. 7–2 Confidence Intervals for the Mean When σ Is Unknown (Page 369- 389)
3	Chapter 7: 7–3 Confidence Intervals and Sample Size for Proportions. 7–4 Confidence Intervals for Variances and Standard Deviations (Page 390- 412)
4	Chapter 8: 8–1 Steps in Hypothesis Testing—Traditional Method. 8–2 z Test for a Mean. 8–3 t Test for a Mean (Page 413-452).
5	Chapter 8: 8–4 z Test for a Proportion. 8–5 𝛘2 Test for a Variance or Standard Deviation. 8–6 Additional Topics Regarding Hypothesis Testing. (Page 453-513)
6	Chapter 9: 9–1 Testing the Difference Between Two Means: Using the z Test. 9–2 Testing the Difference Between Two Means of Independent Samples: Using the t Test (Page 514-533)
7	Chapter 9: 9–4 Testing the Difference Between Proportions. 9–5 Testing the Difference Between Two Variances (Page 534 - 573)
8	Review and Exercises
9	Midterm exam
10	Chapter 10: 10–1 Scatter Plots and Correlation. 10–2 Regression (Page 573-580)
11	Chapter 10: 10–3 Coefficient of Determination and Standard Error of the Estimate 10–4 Multiple Regression (Page 580-606)
12	Chapter 12: Analysis of Variance. 12–1 One-Way Analysis of Variance–2 The Scheffé Test and the Tukey Test. 12–3 Two-Way Analysis of Variance . (PAge 645- 685)
13	Chapter 13: Nonparametric Statistics 13–1 Advantages and Disadvantages of Nonparametric Methods13–2 The Sign Test 13–3 The Wilcoxon Rank Sum Test 13–4 The Wilcoxon Signed-Rank Test 13–6 The Spearman Rank Correlation Coefficient and the Runs Test (Page 685-755)
14	Review and Exercises

Prerequisite(s):	Statistics I
Textbook(s):	Allan G. Bluman (2017) Elementary Statistics , 10th ed., McGraw Hill
Additional Literature:	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	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	5
2	Students describe key economic theories	5
3	Students critically discuss current developments in economics	3
4	Students appropriately use software for data analysis	3
5	Students critically contextualize the selection of an economic problem for research within scholarly literature and theory on the topic	3
6	Students apply appropriate analytical methods to address economic problems	4
7	Students use effective communication skills in a variety of academic and professional contexts	5
8	Students effectively contribute to group work	4
9	Students conduct independent research under academic supervision	4
10	Students uphold ethical values in data collection, interpretation, and dissemination	4
11	Students critically engage with interdisciplinary innovations in social sciences	3
12	Student explain how their research has a broader social benefit	4

COURSE EVALUATION METHOD

Method	Quantity	Percentage
Midterm Exam(s)	1	30
Project	1	15
Final Exam	1	45
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

CONCLUDING REMARKS BY THE COURSE LECTURER

Students are expected to have gained a comprehensive understanding of statistics. Meanwhile, students should work with real data from companies that operate in Albania in order to estimate regression equation, to interpret the results.