EKMZ207 Statistics I

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

Information

Unit FACULTY OF ECONOMICS AND ADMINISTRATIVE SCIENCES
FINANCE PR.
Code EKMZ207
Name Statistics I
Term 2019-2020 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
Label C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. EBRU ÖZGÜR GÜLER
Course Instructor Prof. Dr. EBRU ÖZGÜR GÜLER (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 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 - Having basic conceptual knowledge about economics and public finance and educating students who are able to analyze economic events in the light of this information, to think analytically, to work in cooperation and harmony, and to be able to do business. 0
PLO02 - Collecting and commenting data from different sources using contemporary communication tools, methods and processes 5
PLO03 - Having basic computer skills and knowledge, the vocational field uses this information 1
PLO04 - Perform numerical and statistical data aggregation, analysis and interpretation 5
PLO05 - Individually and / or in a team, take responsibility, leadership, and effectively works 0
PLO06 - An area he does not research exploits from different sources in the framework of academic rules, synthesizes the information he obtains and effectively presents it 2
PLO07 - Awareness of the necessity of life-long learning, it follows up-to-date developments in the field and constantly innovates 0
PLO08 - Synthesize and effectively deliver information from an unfamiliar field to other sources in the framework of academic rules 2
PLO09 - Turkish and at least one foreign language is used in accordance with the needs of academic life and business life 0
PLO10 - Uses Turkish in accordance with the needs of academic life and business life 0
PLO11 - He / she correctly understands the feelings, thoughts and behaviors of the people concerned and expresses himself / herself in writing and orally 0
PLO12 - It has social, scientific and ethical values in the stages of collecting, interpreting and announcing the data related to the scientific fields in which statistics are used. 5
PLO13 - Aware of and act in accordance with social, scientific and professional ethical values 1
PLO14 - Question traditional approaches, practices and methods, develop new working methods where necessary and 3


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 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: 29.04.2025 04:29