BUSINESS ADMINISTRATION
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 Fall 3 0 3 4
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction: En
Type of course: Non-Departmental Elective
Course Level: Bachelor
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
Course Objectives: To apply and interpret the results of a variety of statistical techniques from both descriptive and inferential statistics

Learning Outputs

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: 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
Attendance 0 % 0
Laboratory 0 % 0
Application 0 % 0
Field Work 0 % 0
Special Course Internship (Work Placement) 0 % 0
Quizzes 0 % 0
Homework Assignments 4 % 20
Presentation 0 % 0
Project 0 % 0
Seminar 0 % 0
Midterms 1 % 35
Preliminary Jury 0 % 0
Final 1 % 45
Paper Submission 0 % 0
Jury 0 % 0
Bütünleme % 0
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
Laboratory 0 0 0
Application 0 0 0
Special Course Internship (Work Placement) 0 0 0
Field Work 0 0 0
Study Hours Out of Class 14 7 98
Presentations / Seminar 0 0 0
Project 0 0 0
Homework Assignments 0 0 0
Quizzes 0 0 0
Preliminary Jury 0
Midterms 1 2 2
Paper Submission 0
Jury 0
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) Being able to identify problems and ask right questions
2) Having problem solving skills and developing necessary analytical attitude
3) Comprehending theoretical arguments along with counter arguments in detail
4) Gaining awareness of lifelong learning and being qualified for pursuing graduate education
5) Applying theoretical concepts in project planning
6) Communicating efficiently by accepting differences and carrying out compatible teamwork
7) Increasing efficiency rate in business environment
8) Developing innovative and creative solutions in face of uncertainty
9) Researching to gather information for understanding current threats and opportunities in business
10) Being aware of the effects of globalization on society and business while deciding
11) Possessing digital competence and utilizing necessary technology
12) Communicating in at least one foreign language in academic and daily life
13) Possessing managing skills and competence
14) Deciding with the awareness of the legal and ethical consequences of business operations
15) Expressing opinions that are built through critical thinking process in business and academic environment