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•           Information on Degree Programmes

COURSE INFORMATON
Course Title Code Semester L+P Hour Credits ECTS
Statistical Inference * ISB   352 6 3 3 5

 Prerequisites and co-requisites Yok Recommended Optional Programme Components None

Language of Instruction Turkish
Course Level First Cycle Programmes (Bachelor's Degree)
Course Type
Course Coordinator Asst.Prof.Dr. Selma TOKER KUTAY
Instructors
 Dr. Öğr. Üyesi SELMA TOKER KUTAY 1. Öğretim Grup:A Dr. Öğr. Üyesi SELMA TOKER KUTAY 2. Öğretim Grup:A

Assistants
Goals
The aim of the course is estimation of the parameter and hypothesis testing for these parameters.
Content
statistics and distributions, sampling and statistics,Sampling distribution function and some related statistics, sampling density function, sampling percentage, Hypothesis testing, simple and compound hypothesis, test function, Neymann-Pearson lemma , application of Neymann-Pearson lemma, Bayes tests, power functions, UMPT, p-value

Learning Outcomes
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Course's Contribution To Program
NoProgram Learning OutcomesContribution
12345
1
Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics
X
2
Emphasize the importance of Statistics in life
X
3
Define basic principles and concepts in the field of Law and Economics
X
4
Produce numeric and statistical solutions in order to overcome the problems
X
5
Use proper methods and techniques to gather and/or to arrange the data
X
6
Utilize computer systems and softwares
X
7
Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events
X
8
Apply the statistical analyze methods
X
9
Make statistical inference(estimation, hypothesis tests etc.)
X
10
Generate solutions for the problems in other disciplines by using statistical techniques
X
11
Discover the visual, database and web programming techniques and posses the ability of writing programme
12
Construct a model and analyze it by using statistical packages
X
13
Distinguish the difference between the statistical methods
X
14
Be aware of the interaction between the disciplines related to statistics
X
15
Make oral and visual presentation for the results of statistical methods
X
16
Have capability on effective and productive work in a group and individually
X
17
Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improve themselves by identifying training needs
X
18
Develop scientific and ethical values in the fields of statistics-and scientific data collection
X

Course Content
WeekTopicsStudy Materials _ocw_rs_drs_yontem
1 Statistics and distributions, sampling and statistics Review of the literature
2 Sampling distribution function and some related statistics, sampling density function, sampling percentage Review of the previous lesson and the literature
3 Skor function and fisher information. Data reductions Review of the previous lesson and the literature
4 Completeness, likelihood principle Review of the previous lesson and the literature
5 Parameter estimation methods (ML, moments, OLS, Bayes) Review of the previous lesson and the literature
6 Hypothesis testing, simple and compound hypothesis, test function Review of the previous lesson and the literature
7 Likelihood ratio test Review of the previous lesson and the literature
8 Mid-term exam Review of the previous lesson and the literature
9 Neymann-Pearson lemmaı , application of Neymann-Pearson lemma Review of the previous lesson and the literature
10 Bayes tests, power functions, UMPT, p-value Review of the previous lesson and the literature
11 Application of Hypothesis testing Review of the previous lesson and the literature
12 Application of Hypothesis testing Review of the previous lesson and the literature
13 Confidence intervals, point estimation Review of the previous lesson and the literature
14 Bayes confidence intervals, approximate confidence intervals Review of the previous lesson and the literature
15 Confidence intervals using Pivot Review of the previous lesson and the literature
16-17 Final exam Review of the previous lesson and the literature