ISTATISTIK ALPTEKIN ESIN PDF

The ratio alptekiin final to success. Sports and leisure facilities. Weekly Detailed Course Content Week. 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. Esin, Alptekin Practical information for mobile students. Compulsory Level of Course Unit: Facilities for special needs students.

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Learning Outcomes of The Course Unit. Teori ve problemlerle istatistik Facilities for special needs students. General alptekjn for recognition of prior learning. To teaching the property of related to the single and multi-dimensional random variables Course Aims: Examination LO-2 can use statistical analysis techniques in social research.

Courses for Erasmus Students. Assessment Methods and Criteria. Recommended or Required Reading Textbook.

LO-1 can effective use statistical methods PO become skilful at maths, econometrics and statistics, making more effective decisions with econometric and statistical analysis.

Learning Activities and Teaching Methods. Weekly Detailed Course Content Week. Esin, Alptekin Objectives of the Course. 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 in a logical way, determining istatishik data analysis techniques should be used in certain conditions and revealing why and how are these techniques are used.

Course Duration Excluding Exam Week. Ezgi Kitabevi, 2 Murray R. Weekly Detailed Course Content. Cost of living Accommodation Meals Medical facilities Facilities for special needs students Insurance Ein 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.

General information for students Cost of living. Alptekin Esin 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.

PO become skilful at maths, econometrics and statistics, making more effective decisions with econometric and statistical analysis. The ratio of the term to success. 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.

Practical information for mobile students. Information on degree programmes Short Cycle. General Description of the institution. To teaching the property of related to the single and multi-dimensional random variables. Financial support for students.

Type of Course Istatisgik. Arrangements for academic guidance. Double Factor Variance Analysis. Name of Lecturer s. Required Course instruments and materials. Recommended Optional Programme Components. The ratio of final to success. Furthermore, they are capable of predicting the outcomes of these decisions and interpreting the cause and effect relation.

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ISTATISTIK ALPTEKIN ESIN PDF

Bralkis Examination LO-2 can use statistical analysis techniques in social research. Weekly Detailed Course Content Week. General Description of the institution. 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.

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Mogal PO Use research methods and techniques for writing a thesis or doing scientific research. 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 in a logical way, determining which data analysis techniques should be used in certain conditions and revealing why and how are these techniques are used. Single Factor Variance Analysis. Furthermore, they are capable of predicting the outcomes of these decisions and interpreting the cause and effect relation. Information on degree programmes Short Cycle. To teaching the property of related to the single and multi-dimensional random variables. Student workload surveys utilized to determine ECTS credits.

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