Esin AVCI1 1Yıldız Teknik Üniversitesi; Fen Edebiyat Fakültesi; İstatistik Bölümü, 2yıldız Teknik Üniversitesi Fen Deniz ALPTEKİN, 2, 10, 12, 40, , Course. Book. 1. İstatistik (in ESİN, Müslim EKNİ, Hamza GAMGAM). Workbook. 1. İşletme ve İktisat için İstatistik (Paul NEWBOLD). İSTATISTIK · Book. Jan [object Object]. Celal Aydin · View Jan ; Literatür Yayınevi. [object Object]. Çeviren: Alptekin ESIN · [object Object].
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The ratio of the term to success. Ezgi Kitabevi, 2 Murray R. Courses for Erasmus Students. Unavailable Recommended Optional Programme Components: PO Use research methods and techniques for writing a thesis or doing scientific research.
Teori ve problemlerle istatistik
Information on degree programmes Short Cycle. Name of Lecturer s.
Furthermore, they are capable of predicting the outcomes of a,ptekin decisions and interpreting the cause and effect relation. List of programmes offered. Assessment Methods and Criteria.
General information for students Cost of living. Course Information Course Unit Title. Double Factor Variance Analysis. Information on the instutiation Name and Address Academic Calendar Academic Authorities General Description of the institution List of programmes offered General admission requirements General arrangements for recognition of prior learning General registration procedures ECTS credit allocation Istatisrik for academic guidance.
Recommended or Required Reading. Prerequisities and Co-requisities Courses. Single Factor Variance Analysis. Financial support for students.
Facilities for special needs students. Required Course instruments and materials. Presenting properties of univariate and multivariate random variables. First Cycle Year of Study: Student workload surveys utilized to determine ECTS credits.
Planned Learning Activities and Teaching Methods. Cost of living Accommodation Meals Medical facilities Facilities for special needs students Insurance Financial support for students Student affairs office Learning facilities International programmes Practical information for mobile students Language courses Internships Sports and leisure facilities Student associations Courses for Erasmus Students.
LO-1 can effective use statistical methods Alptekim become skilful at maths, econometrics and statistics, making more effective decisions with econometric and statistical analysis. PO-8 have knowledge and skills intended for teoric and practice on ethics, legislative framework, auditing standarts and deception by having information about basic audit principles and techniques and reporting the audits issues.
PO become skilful at maths, econometrics and statistics, making more effective decisions with econometric and statistical analysis. Examination LO-3 Can develop model and hypothesis PO become skilful at maths, econometrics and statistics, making more effective decisions with econometric and statistical analysis.
Type of Course Unit. Sports and leisure facilities. General Description of the institution. Arrangements for academic guidance.
Prof.Dr. Alptekin Esin
Learning Activities and Teaching Methods. Compulsory Level of Course Unit: Learning the usage of properties of univariate and multivariate random variables. Practical information for mobile students. Objectives of the Course. Level altpekin Course Unit. Examination LO-4 be able to estimate sampling PO-8 have knowledge and skills intended for teoric and practice on ethics, legislative framework, auditing standarts and deception by having information about basic audit principles and techniques and reporting the audits issues.
To teaching the property of related to the single and multi-dimensional random variables. Examination LO-2 can use statistical alpteiin techniques in social research. Information on the instutiation Name and Address. Learning Outcomes of The Course Unit.
Course Duration Excluding Exam Week. The main objectives of this lesson are understanding of statistics terms and their application facilities;composing of numerical data ,deciding in an uncertainty circumstance and interpreting them aptekin a logical way, determining which data analysis techniques should be used in certain conditions and revealing why and how are these techniques are used.