Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
4İKT232Statistics II3+0+03418.08.2026
Course Details
Language of Instruction Turkish
Level of Course Unit Bachelor's Degree
Department / Program Economics
Type of Program Formal Education
Type of Course Unit Compulsory
Course Delivery Method Face To Face
Objectives of the Course The general aim of this course is to enable the candidate economist to first determine the place and importance of concepts such as expected value, variance, discrete and continuous distributions, normal distribution, Z distribution in solving real life problems, and also to explain the concepts of descriptive statistics.
Course Content It includes topics such as expected value, variance, discrete and continuous distributions, normal distribution, Z distribution, t student distribution, chi-square distribution, F distribution.
Course Methods and Techniques
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers None
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Akdeniz, Fikri. Olasılık ve İstatistik. 19. Baskı, 2014,ISBN:978-605-464-952-5
Course Notes Each lesson begins with the lecturer introducing the current lesson topic. The course is taught in an interactive way. Methods such as lecture, question-answer, case study, discussion of research findings are applied together. Therefore, students need to be thoroughly prepared by reading the topic the week before class.

Course Category
Social Sciences %70
Field %30

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
Mid-terms 1 % 40
Final examination 1 % 60
Total
2
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 20 3 60
Hours for off-the-c.r.stud 20 3 60
Mid-terms 1 2 2
Final examination 1 2 2
Total Work Load   Number of ECTS Credits 4 124

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Learns concepts such as expected value, Variance, Standard Deviation and Distributions.
2 Learns to interpret the relationship between variables through distributions.
3 Knows the measures of central tendency.
4 Learns to interpret whether the selected sample is right or wrong.
5 Interpret what she has learned in statistical analysis in any institution where she will work and the strengths and weaknesses of the institution.(dişil) Bunu Go

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Introduction The topics that were covered last week and that will be covered this week are read from books and other sources.
2 Variance and Properties The topics that were covered last week and that will be covered this week are read from books and other sources.
3 Moment, Skewness in Distribution, Chebyshev inequality The topics that were covered last week and that will be covered this week are read from books and other sources.
4 Some Discrete Probability Distributions The topics that were covered last week and that will be covered this week are read from books and other sources.
5 Some Discrete Probability Distributions The topics that were covered last week and that will be covered this week are read from books and other sources.
6 Some Discrete Probability Distributions The topics that were covered last week and that will be covered this week are read from books and other sources.
7 Applications The topics that were covered last week and that will be covered this week are read from books and other sources.
8 midterm
9 Continuous Distribution The topics that were covered last week and that will be covered this week are read from books and other sources.
10 Continuous Distribution The topics that were covered last week and that will be covered this week are read from books and other sources.
11 Continuous Distribution The topics that were covered last week and that will be covered this week are read from books and other sources.
12 Data Editing and Data analysis The topics that were covered last week and that will be covered this week are read from books and other sources.
13 Data Editing and Data analysis The topics that were covered last week and that will be covered this week are read from books and other sources.
14 Overview The topics that were covered last week and that will be covered this week are read from books and other sources.

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12
C1 4 5 5 4 5 4 5 4 5 4 5 4
C2 5 5 4 5 4 5 4 5 4 5 4 5
C3 4 5 4 5 4 5 4 4 5 4 5 4
C4 5 4 5 4 5 4 4 4 3 4 4
C5 4 4 4 4 4 4 4 4 4 4 4 4

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