Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS Credits
3YBS221Statistics3+0+036

Course Details
Language of Instruction Turkish
Level of Course Unit Bachelor's Degree
Department / Program Management Information Systems
Mode of Delivery Face to Face
Type of Course Unit Compulsory
Objectives of the Course The aim of this course is to teach basic concepts and methods related to the science of statistics at the undergraduate level.
Course Content The content of this course is summarization of data, graphical analysis, probability theory, random variables and their probability distributions, sampling and sampling distributions, and correlation and regression analysis.
Course Methods and Techniques Topic Explanation-Question/Answer
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers Asist Prof. ÜMİT BOZOKLU
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Semra Oral Erbaş, Olasılık ve İstatistik: Problemler ve Çözümleri İle, 9.Basım, Gazi Kitabevi, 2022, Ankara.
Atilla Aslanargun, Berna Yazıcı, Yeliz Mert Kantar, Birdal Şenoğlu, İlhan Usta, İstatistik I, T.C. Anadolu Üniversitesi Yayını No: 2608, Ağustos 2018, Eskişehir.
Neil J.Salkind, İstatistikten Nefret Edenler İçin İstatistik, Çeviri Ed.törü: Alper Çuhadaroğlu, 2.Basım, 2012, Pegem, Ankara.
Nezir Köse, İstatistik ve Olasılığa Giriş I, 2.Basım, Gazi Kitabevi, 2012, Ankara.
Semra Oral Erbaş (2022). Olasılık ve İstatistik: Problemler ve Çözümleri İle, 9.Basım, Gazi Kitabevi, Ankara.
Atilla Aslanargun, Berna Yazıcı, Yeliz Mert Kantar, Birdal Şenoğlu, İlhan Usta (2018). İstatistik I, T.C. Anadolu Üniversitesi Yayını No: 2608, Ağustos 2018, Eskişehir.
Nezir Köse (2012). İstatistik ve Olasılığa Giriş I, 2.Basım, Gazi Kitabevi, Ankara.
Neil J.Salkind (2012). İstatistikten Nefret Edenler İçin İstatistik, Çeviri Ed.törü: Alper Çuhadaroğlu, 2.Basım, Pegem, Ankara.
Paul Newbold. İşletme ve İktisat İçin İstatistik. çev. Ümit Şenesen. Literatür Yayıncılık, 2000. Paul Newbold. Statistics for Business and Economics. Prentice Hall.
İnternet Kaynakları
Uygulama-Jamovi

Course Category
Mathematics and Basic Sciences %20
Social Sciences %80

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 14 3 42
Hours for off-the-c.r.stud 14 3 42
Mid-terms 1 30 30
Final examination 1 40 40
Total Work Load   Number of ECTS Credits 6 154

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Being able to explain the basic concepts and principles of statistics
2 Based on probability theory, we can quantify the uncertainty element in economic phenomena.
3 You can have functional knowledge about basic statistical concepts and processes related to random variables and their distributions.
4 It has information about processes such as sampling and sampling distributions.
5 Being able to use the basic concepts of correlation and regression techniques at the theory and application level.


Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Definition of Statistics, Types of Statistics, Statistical Unit, Statistical Series
2 Measures of Central Tendency
3 Measure of Dispersion
5 Introduction to Probability Theory
6 Discrete Random Variables and Their Probability Distributions
7 Continuous Random Variables and Probability Distributions of These Variables
8 Midterm Exam
9 Tests of Skewness, Kurtosis, and Normality for Series: Application of Jamovi
10 Sampling and Sampling Distribution I
11 Hypothesis Testing and Jamovi Application
12 Covariance, Correlation Analysis, and Application of Jamovi
13 Regression Analysis and Jamovi Application
14 Ki-Kare Test and Jamovi Application


Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8
All 3 4 5 2 3 3 5 1
C1 4 3 4 1 1 2 5 1
C2 3 5 5 3 4 3 5 1
C3 3 5 5 2 3 3 5 1
C4 3 4 5 2 2 4 5 1
C5 3 5 5 3 4 4 5 1

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