MT262 Statistics

5 ECTS - 4-0 Duration (T+A)- 4. Semester- 4 National Credit

Information

Code MT262
Name Statistics
Term 2024-2025 Academic Year
Semester 4. Semester
Duration (T+A) 4-0 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 4 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. SADULLAH SAKALLIOĞLU
Course Instructor
1 2
Prof. Dr. SADULLAH SAKALLIOĞLU (A Group) (Ins. in Charge)


Course Goal / Objective

It aims to provide a basis for analysis and interpretation of statistical problems encountered by teaching the subjects of some continuous distributions, sampling and sample selection methods, organization and analysis of data, measures of central tendency and dispersion measures, sampling distributions and estimation methods, hypothesis testing, tests based on chi-square.

Course Content

Gauss distribution, sampling distributions, estimation, confidence intervals, hypothesis testing, power of test, chi-square test

Course Precondition

None

Resources

Olasılık ve İstatistik (Probability and Statistics), Fikri Akdeniz, Nobel Yayınevi, Adana

Notes

Olasılık ve İstatistik (Probability and Statistics), Fikri Akdeniz, Nobel Yayınevi, Adana


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Recognize some continuous distributions
LO02 Recognize the methods of sampling and sample selection.
LO03 Prepare frequenc table.
LO04 Understand measures of central tendency and dispersion measures.
LO05 Knows and understands sampling distributions and their properties.
LO06 Learns and uses methods of estimation.
LO07 Apply hypothesis testing.
LO08 Able to carry out Chi-square tests for independence and goodness of fits


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Comprehend the ability to prove the mathematical knowledge gained in secondary education on the basis of theoretical basis. 4
PLO02 Bilgi - Kuramsal, Olgusal Understands importance of basic consepts of Algebra, Analaysis and Topology.
PLO03 Yetkinlikler - Öğrenme Yetkinliği Mathematical reasoning demonstrates the ability to develop and write mathematical proofs by gaining maturity.
PLO04 Bilgi - Kuramsal, Olgusal Demonstrates the ability to express the basic theories of mathematics accurately both in writing and orally.
PLO05 Bilgi - Kuramsal, Olgusal Understands the relationship between the different fields of mathematics and its relation to other disciplines. 4
PLO06 Bilgi - Kuramsal, Olgusal Comprehends the ability to understand the relationships between the objects in the most understandable way while creating a model for any problem. 4
PLO07 Bilgi - Kuramsal, Olgusal Comprehend and explain mathematical models such as formulas, graphs, tables and schema. 4
PLO08 Bilgi - Kuramsal, Olgusal Demonstrate the ability to mathematically rearrange, analyze, and model the problems they encounter. 3
PLO09 Bilgi - Kuramsal, Olgusal Comprehends at least one of the computer programming languages.
PLO10 Bilgi - Kuramsal, Olgusal Demonstrate the ability to use scientific methods and appropriate technologies effectively in problem solving. 4
PLO11 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Understands sufficient knowledge of foreign language to be able to understand Mathematical concepts and communicate with other mathematicians
PLO12 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği In addition to their professional development, they demonstrate their ability to continuously improve themselves by identifying their educational needs in scientific, cultural, artistic and social areas in line with their interests and abilities.
PLO13 Yetkinlikler - Öğrenme Yetkinliği Understands the programming techniques and shows the ability to do programming.
PLO14 Yetkinlikler - Öğrenme Yetkinliği Demonstrates the ability to study mathematics both independently and as a group. 3
PLO15 Bilgi - Kuramsal, Olgusal Demonstrate an awareness of the universal and social impacts and legal consequences of mathematical applications in the field of study.
PLO16 Bilgi - Kuramsal, Olgusal Demonstrate the ability to select, use and develop effectively for contemporary mathematical applications.
PLO17 Bilgi - Kuramsal, Olgusal It has ability of lifelong learning awareness, access to information, monitoring developments in science and technology and self-renewal ability.
PLO18 Bilgi - Kuramsal, Olgusal Gains the ability to use information technologies effectively for contemporary mathematical applications.
PLO19 Bilgi - Kuramsal, Olgusal Gains the ability to design, conduct experiments, field work, data collection, analysis, archiving, text solving and / or interpretation according to mathematics fields. 4
PLO20 Bilgi - Kuramsal, Olgusal Gains the consciousness of prefesional ethics and responsibility. 4


Week Plan

Week Topic Preparation Methods
1 Normal Distribution, Standard Normal Distribution, Normal Approximation to the Binomial Distribution Required readings Öğretim Yöntemleri:
Anlatım, Tartışma
2 Some Important Continuous Random Variables and Distributions, Problem Solving Required readings Öğretim Yöntemleri:
Anlatım, Tartışma
3 Simple Random Sampling, Systematic Sampling, Stratified Sampling, Random Cluster Sampling Required readings Öğretim Yöntemleri:
Anlatım, Tartışma
4 Preparation of data, Frequency distribution, Graphical Representations Required readings Öğretim Yöntemleri:
Anlatım, Tartışma
5 Measures of Central Tendency, Comparison between Central Tendency Required readings Öğretim Yöntemleri:
Anlatım, Tartışma, Soru-Cevap
6 Measures of Dispersion, Coefficient of Variation, Problem Solving Required readings Öğretim Yöntemleri:
Anlatım, Tartışma, Soru-Cevap
7 Some Properties of Sample Mean and Variance, Point Estimation, Confidence Interval Required readings Öğretim Yöntemleri:
Anlatım, Tartışma, Soru-Cevap
8 Mid-Term Exam Written Exam Ölçme Yöntemleri:
Yazılı Sınav
9 Determination of Sample Size, Confidence interval for variance Required readings Öğretim Yöntemleri:
Anlatım, Tartışma
10 Confidence Interval for the Difference Between Two Means, Confidence Interval for the Difference Between Two Proportions Required readings Öğretim Yöntemleri:
Anlatım, Tartışma
11 Hypotheses testing for mean, hypotheses testing for variance, hypothesis testing for equality of variances Required readings Öğretim Yöntemleri:
Anlatım, Tartışma
12 Hypotheses testing for the Difference Between Two Means, hypotheses testing for the Difference Between Two Proportions Required readings Öğretim Yöntemleri:
Anlatım, Tartışma, Soru-Cevap
13 Goodness of fit tests Required readings Öğretim Yöntemleri:
Anlatım, Tartışma, Soru-Cevap
14 Chi-Square Test for Independence Required readings Öğretim Yöntemleri:
Anlatım, Tartışma
15 Solving problem Review the topics discussed in the lecture notes and sources Öğretim Yöntemleri:
Tartışma, Soru-Cevap
16 Term Exams Written exam Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Written exam Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 4 56
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 8 8
Final Exam 1 16 16
Total Workload (Hour) 122
Total Workload / 25 (h) 4,88
ECTS 5 ECTS

Update Time: 13.09.2024 03:15