ECO2062 Applied StatisticsBahçeşehir UniversityDegree Programs POLITICAL SCIENCE AND INTERNATIONAL RELATIONSGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
POLITICAL SCIENCE AND INTERNATIONAL RELATIONS
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
ECO2062 Applied Statistics Spring
Fall
3 0 3 6
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Non-Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Hybrid
Course Coordinator : Dr. Öğr. Üyesi SERKAN YEŞİLYURT
Course Lecturer(s): Dr. Öğr. Üyesi AYSE ERTUĞRUL BAYKAN
Prof. Dr. İPEK ALTINBAŞAK FARİNA
Recommended Optional Program Components: None
Course Objectives: To apply and interpret the results of a variety of statistical techniques from both descriptive and inferential statistics

Learning Outcomes

The students who have succeeded in this course;
1. The concept of the sampling distribution and to compute probabilities related to the sample mean and the sample proportion

2. To construct and interpret confidence interval estimates for the mean and the proportion

3. The basic principles of hypothesis testing and how to use hypothesis testing to test a mean or proportion


4. How to use hypothesis testing for comparing the difference between the means and proportion of populations


5. How to use one-way and two-way analysis of variance to test for differences among the means of several populations

6. How and when to use the chi-square test for contingency tables and how to use the chi-square test for a variance or standard deviation


7. How to use regression analysis to investigate the relationship between variables.

Course Content

Sampling and Sampling Distributions

Sampling Distribution Properties

Point and Interval Estimates
Confidence Interval for population mean

Confidence Intervals for the
Population Proportion, π
Fundamentals of Hypothesis Testing: One-Sample Tests
Hypothesis Testing for Mean and Proportion
Two-Sample Tests for Mean

Two-Sample Tests for Proportion

One-Way Analysis of Variance

Two-Way Analysis of Variance

Chi-Square Tests and Nonparametric Tests

Introduction to Simple Linear Regression


Weekly Detailed Course Contents

Week Subject Related Preparation
1) Sampling and Sampling Distributions
2) Point and Interval Estimates
3) Sampling Distribution Properties
4) Confidence Interval for population mean
5) Confidence Intervals for the Population Proportion, π
6) Fundamentals of Hypothesis Testing: One-Sample Tests
7) Hypothesis Testing for Mean and Proportion
8) Review
9) Two-Sample Tests for Mean
10) Two-Sample Tests for Proportion
11) Analysis of Variance
12) Chi-Square Tests and Nonparametric Tests
13) Introduction to Simple Linear Regression
14) Review

Sources

Course Notes / Textbooks: Basic Business Statistics Concepts and Applications
Mark L. Brenson, David M. Levine, Timothy C. Krehbiel, Pearson Education Prentice Hal.
References: .

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 4 % 20
Midterms 1 % 35
Final 1 % 45
Total % 100
PERCENTAGE OF SEMESTER WORK % 55
PERCENTAGE OF FINAL WORK % 45
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 16 3 48
Study Hours Out of Class 14 7 98
Midterms 1 2 2
Final 1 2 2
Total Workload 150

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Grasp basic theoretical and conceptual knowledge about the field and relations between them at the level of practice.
2) Possess basic knowledge about the causes and effects of political transformations in societies.
3) Possess knowledge about quantitative, qualitative and mixed research methods in social and behavioral sciences.
4) Recognize historical patterns while evaluating contemporary political and social developments.
5) Demonstrate interdisciplinary and critical approach while analyzing, synthesizing and forecasting domestic and foreign policy.
6) Conduct studies in the field professionally, both independently or as a team member.
7) Possess consciousness about lifelong learning based on Research & Development.
8) Communicate with peers both orally and in writing, by using a foreign language at least at a level of European Language Portfolio B1 General Level and the necessary informatics and communication technologies.
9) Apply field-related knowledge and competences into career advancement, projects for sustainable development goals, and social responsibility initiatives.
10) Possess the habit to monitor domestic and foreign policy agenda as well as international developments.
11) Possess competence to interpret the new political actors, theories and concepts in a global era.
12) Evaluate the legal and ethical implications of advanced technologies on politics.