EKMZ207 Statistics I

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

Information

Code EKMZ207
Name Statistics I
Term 2024-2025 Academic Year
Semester 3. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. EBRU ÖZGÜR GÜLER
Course Instructor Prof. Dr. EBRU ÖZGÜR GÜLER (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

SPSS Uygulamalı Temel İstatistik Yöntemler, 10. Baskı, Prof. Dr. Özkan ÜNVER, Prof. Dr. Hamza GAMGAM ve Prof. Dr. Bülent ALTUNKAYNAK, Seçkin Yayınevi, Eylül 2021.

Notes

Olasılık ve İstatistik, Fikri AKDENİZ, Nobel Yayınevi, 2017. Bilimsel Araştırmalarda SPSS ile İstatistik, Selahattin Güriş ve Melek Astar, DER Yayınları, 2014. İktisadi ve İdari Bilimler İçin İstatistik, Ziya Gökalp Göktolga, Seçkin Yayınevi, Eylül 2013.


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 results of the analysis
LO05 Describes the definition of probability and its usage in real life
LO06 Describes random variables
LO07 Defines the difference between discrete and continuous random variables
LO08 Differenciates common discrete variables
LO09 List the main properties of special discrete distributions
LO10 Differenciates common continuous variables


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Explains basic conceptual information about economy and finance
PLO02 Bilgi - Kuramsal, Olgusal interprets data from different sources using contemporary communication tools, methods and processes. 4
PLO03 Bilgi - Kuramsal, Olgusal Having basic computer knowledge and skills, she uses this knowledge in the professional field 3
PLO04 Bilgi - Kuramsal, Olgusal explain the duties and authorities of Public Financial Institutions.
PLO05 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Works effectively individually and/or in a team. 4
PLO06 Beceriler - Bilişsel, Uygulamalı Synthesizes and effectively presents the information obtained from different sources within the framework of academic rules in the field of research. 2
PLO07 Beceriler - Bilişsel, Uygulamalı Being aware of the necessity of lifelong learning, she follows the current developments in her field. 2
PLO08 Beceriler - Bilişsel, Uygulamalı Synthesizes the information obtained from different sources within the framework of academic rules. 3
PLO09 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Turkish and at least one foreign language is used in accordance with the needs of academic life and business life
PLO10 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği explain the job descriptions of professional people.
PLO11 Yetkinlikler - Öğrenme Yetkinliği Have social, scientific and ethical values.
PLO12 Yetkinlikler - Öğrenme Yetkinliği Apart from the traditional approach, it develops new working methods when it deems necessary.
PLO13 Yetkinlikler - İletişim ve Sosyal Yetkinlik Expresses herself orally and in writing 1


Week Plan

Week Topic Preparation Methods
1 Statistics and some fundamental definitions Refer to textbook Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
2 Frequency distributions and graphs Refer to textbook Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Problem Çözme
3 Computer applications of frequency distributions and graphics Refer to textbook Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
4 Central tendency measures (Mean, median, and mode) Refer to textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
5 Central tendency measures (Harmonic and geometric mean and comparison of central tendency measures) Refer to textbook Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
6 Central tendency measures (Mean, median, and mode for grouped data) Refer to textbook Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Örnek Olay, Problem Çözme
7 Measures of dispersion (Range, mean absolute deviation, variance and standard deviation, coefficient of variation) Refer to textbook Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
8 Mid-Term Exam General review for the midterm exam Ölçme Yöntemleri:
Yazılı Sınav
9 Some probability concepts (Different probability approaches) Refer to textbook Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Alıştırma ve Uygulama
10 Some probability concepts (Addition and Multiplication Rule) Refer to textbook Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Örnek Olay
11 Random variables (Discrete random variables and their expected value and variance) Refer to textbook Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
12 Random variables (Continuous random variables and their expected value and variance) Refer to textbook Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
13 Some common discrete distributions (Bernoulli, Binomial, Geometric) Refer to textbook Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, Örnek Olay, Problem Çözme
14 Some common discrete distributions (Poisson, Uniform) Refer to textbook Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
15 Some common continuous distributions (Normal and standard normal, Normal approximation to Binomial distribution, Exponential distribution) Refer to textbook Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama, 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 3 42
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 18 18
Total Workload (Hour) 114
Total Workload / 25 (h) 4,56
ECTS 5 ECTS

Update Time: 08.05.2024 10:48