Course Details

Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
3BA223BUSINESS STATISTICS 13+0+03517.09.2025

 
Course Details
Language of Instruction English
Level of Course Unit Bachelor's Degree
Department / Program BUSINESS ADMINISTRATION
Type of Program Formal Education
Type of Course Unit Compulsory
Course Delivery Method Face To Face
Objectives of the Course Understanding the role of statistics in research and business practice.
Analyzing business data by applying statistical techniques.
Interpreting statistical results to support decision-making.
Developing a foundational background for further studies in business applications.
Course Content The focus is on broad treatment of applications of statistics, concentrating on techniques used in business. This course aims to focus on how to define, collect, organize, visualize and analyze the data for a business problem by applying statistical techniques. Topics include descriptive statistics, parameter estimation, confidence intervals, hypothesis testing, analysis of variance, and linear regression. The course includes computer implementations using available up-to-date statistical software.
Course Methods and Techniques Course notes, assignments, midterm and final exam
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers Asist Prof.Dr. Eda Ustaoglu https://avesis.agu.edu.tr/eda.ustaoglu eda.ustaoglu@agu.edu.tr
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Business Statistics: A First Course (Levine, D. M.; Szabat, K. A.; Stephan, D. F.)
Course Notes The course notes were prepared based on the book: Business Statistics: A First Course (Levine, D. M.; Szabat, K. A.; Stephan, D. F.)
Documents Canvas
Assignments Canvas

Course Category
Mathematics and Basic Sciences %0
Engineering %0
Engineering Design %0
Social Sciences %100
Education %0
Science %0
Health %0
Field %0

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Yarıyıl İçi Çalışmalarının Başarı Notunun Katkısı 1 % 40
Ödev 2 % 15
Final examination 1 % 45
Total
4
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Belirsiz 1 10 10
Yazılı Sınav 1 3 3
Ev Ödevi 2 15 30
Soru Çözümü 3 20 60
Yüz Yüze Ders 14 3 42
Final Sınavı 1 3 3
Total Work Load   Number of ECTS Credits 5 148

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Summarize data numerically and graphically using descriptive statistics.
2 Estimate point values for unknown parameters of distributions.
3 Construct confidence intervals for unknown parameters of distributions.
4 Test hypotheses with two samples.

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Important Things to Learn First
2 Organizing and Visualizing Variables
3 Numerical Descriptive Measures
4 Basic Probability
5 Discrete Probability Distributions
6 Sampling Distributions
7 Midterm Exam
8 Sampling Distributions
9 Confidence interval estimation
10 Fundamentals of hypothesis testing
11 One way ANOVA
12 Problem Solutions
13 Problem Solutions
14 Final exam

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10
C1 4 4 2 2 3 1 2 2 3
C2 4 5 1 2 2 1 2 2 3
C3 4 5 1 2 2 1 2 2 3
C4 5 5 2 1 2 2 1 3 3 3

  Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant

  
  https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=79230&lang=en