EKMZ101 Statistics I

6 ECTS - 3-0 Duration (T+A)- 1. Semester- 3 National Credit

Information

Unit FACULTY OF ECONOMICS AND ADMINISTRATIVE SCIENCES
ECONOMETRICS PR.
Code EKMZ101
Name Statistics I
Term 2021-2022 Academic Year
Semester 1. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Label C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. EBRU ÖZGÜR GÜLER
Course Instructor Prof. Dr. GÜLSEN KIRAL (Güz) (A Group) (Ins. in Charge)


Course Goal / Objective

In this course, it is aimed to bring the fundamental knowledge and skills about analyzing and interpreting data with graphs and descriptive statistics and in addition to that bring knowledge about random variables and some common distributions.

Course Content

The course content covers the importance of data analysis, how to analyze data and how to interpret the results of analysis, basic probability concepts, random variables and their usage in real life, some common discrete (Bernoulli, Binomial, Poisson, etc.) and continuous (normal and standard normal) random variables.

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Defines the importance of Statistics in Social Sciences
LO02 Analyzes data using graphical methods
LO03 Describes data using numerical measures
LO04 Interprets the results of the analysis
LO05 Describes the definition of probability and its usage in real life
LO06 Describes and analyzes random variables
LO07 Defines the difference between discrete and continuous random variables
LO08 Differenciates common discrete and continuous variables and explains their properties


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Explain the basic concepts and theorems in the fields of Econometrics, Statistics and Operations research 3
PLO02 Bilgi - Kuramsal, Olgusal Acquires basic Mathematics, Statistics and Operation Research concepts 5
PLO03 Bilgi - Kuramsal, Olgusal Describes the necessary concepts of Business
PLO04 Beceriler - Bilişsel, Uygulamalı Equipped with the foundations of Economics, and develops Economic models
PLO05 Beceriler - Bilişsel, Uygulamalı Models problems with Mathematics, Statistics, and Econometrics 4
PLO06 Beceriler - Bilişsel, Uygulamalı Analyzes/interprets at the conceptual level to develop solutions to problems 4
PLO07 Beceriler - Bilişsel, Uygulamalı Collects/analyses data from reliable data sources for the purpose of study 5
PLO08 Beceriler - Bilişsel, Uygulamalı Interprets the results analyzed with the model 5
PLO09 Beceriler - Bilişsel, Uygulamalı Combines the information obtained from different sources within the framework of academic rules in a field of research
PLO10 Beceriler - Bilişsel, Uygulamalı Adapts traditional approaches, practices and methods to a new study when necessary 2
PLO11 Beceriler - Bilişsel, Uygulamalı Uses a package program of Econometrics, Statistics, and Operation Research 3
PLO12 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Leads by taking responsibility individually and/or within the team
PLO13 Yetkinlikler - Öğrenme Yetkinliği In addition to herself/himself professional development, constantly improves in scientific, cultural, artistic and social fields in line with interests and abilities 1
PLO14 Yetkinlikler - Öğrenme Yetkinliği Being aware of the necessity of lifelong learning, it constantly renews itself by following the current developments in its field. 1
PLO15 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses Turkish and at least one other foreign language, academically and in the business context
PLO16 Yetkinlikler - İletişim ve Sosyal Yetkinlik Interprets the feelings, thoughts and behaviors of the related persons correctly/expresses himself/herself correctly in written and verbal form
PLO17 Yetkinlikler - Alana Özgü Yetkinlik Interprets data on current economic and social issues 4
PLO18 Yetkinlikler - Alana Özgü Yetkinlik Applies social, scientific and professional ethical values


Week Plan

Week Topic Preparation Methods
1 Statistics and some fundamental definitions Refer to textbook
2 Frequency distributions and graphs Refer to textbook
3 Frequency distributions and graphs Refer to textbook
4 Central tendency measures (Mean, median, and mode) Refer to textbook
5 Central tendency measures (Harmonic and geometric mean and comparison of central tendency measures) Refer to textbook
6 Central tendency measures (Mean, median, and mode for grouped data) Refer to textbook
7 Measures of dispersion (Range, mean absolute deviation, variance and standard deviation, coefficient of variation) Refer to textbook
8 Mid-Term Exam General review for the midterm exam
9 Some probability concepts Refer to textbook
10 Some probability concepts Refer to textbook
11 Random variables (Discrete random variables and their expected value and variance) Refer to textbook
12 Random variables (Continuous random variables and their expected value and variance) Refer to textbook
13 Some common discrete distributions (Bernoulli, Binomial, Geometric) Refer to textbook
14 Some common discrete distributions (Poisson, Uniform) Refer to textbook
15 Some common continuous distributions (Normal and standard normal, Normal approximation to Binomial distribution, Exponential distribution) Refer to textbook
16 Term Exams General review for the final exam
17 Term Exams General review for the final exam


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 100 40
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS

Update Time: 01.05.2025 12:14