ECMZ101 Statistics I

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

Information

Code ECMZ101
Name Statistics I
Term 2024-2025 Academic Year
Semester 1. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. HÜSEYİN GÜLER
Course Instructor Arş.Gör.Dr. Çiğdem KOŞAR TAŞ (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

None

Resources

Statistics for Business and Economics, Eighth Edition by Paul Newbold, William L. Carlson, and Betty Thorne, 2013

Notes

Introductory Statistics for Business and Economics, 4th Edition by Thomas H. Wonnacott, and Ronald J. Wonnacott


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 random variables
LO07 Analyzes random variables
LO08 Defines the difference between discrete and continuous random variables
LO09 Differenciates common discrete and continuous variables
LO10 Explains properties of discrete and contionus distributions


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 5
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 5
PLO06 Beceriler - Bilişsel, Uygulamalı Has the ability to analyze/interpret at the conceptual level to develop solutions to problems 3
PLO07 Beceriler - Bilişsel, Uygulamalı Collects/analyses data 5
PLO08 Bilgi - Kuramsal, Olgusal 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 which does not research
PLO10 Beceriler - Bilişsel, Uygulamalı It develops traditional approaches, practices and methods into new working methods when it deems necessary
PLO11 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Leads by taking responsibility individually and/or within the team
PLO12 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
PLO13 Yetkinlikler - Öğrenme Yetkinliği Being aware of the necessity of lifelong learning, it follows the current developments in the field / constantly renews itself
PLO14 Yetkinlikler - İletişim ve Sosyal Yetkinlik Uses a package program of Econometrics, Statistics, and Operation Research 2
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 2
PLO18 Yetkinlikler - Alana Özgü Yetkinlik Applies social, scientific and professional ethical values


Week Plan

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


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: 08.05.2024 12:32