Compulsory
Inferential Statistics
Stefanos G. Giakoumatos
The course aims to provide students with the basic principles and techniques of inferential statistics.
The basic orientation of the course is to develop the “applied statistical thinking” of the students. Statistical thinking could be defined as the ability to draw logical conclusions from various types of statistical data using statistical methods and techniques.
Additionally, it aims to develop practical skills in the fields of data processing, analysis, and interpretation of data using special statistical software. More specifically, the students will learn the basic estimation methods and inferential techniques such as confidence intervals and statistical hypothesis tests.
Upon successful completion of the course, the student / her will be able to:
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use probability distributions to solve problems in the administration and the economy.
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conclude the properties of a population by using samples.
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apply statistical induction methods in decision-making problems (confidence intervals and significance tests).
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select and apply linear models to make projections of several variables
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use specialized statistical software for processing real problems