Computer and Statistics Center

 

Statistics
Statistics Primer

Instructor: Andras Vetier

If you need to develop some basic statistical skills for your studies/research in Humanities from scratch this is the course for you. No special statistical software is required as the course is based on Excel. Having some experience with Excel is an advantage but not a prerequisite.

For a great majority of students learning any abstract theory is to see the down to earth meaning of notions and methods. These for probability and statistics can be experienced only by making a large number of experiments repeated many times. Performing experiments in a large number and then drawing (correct) conclusions is a complicated task. This is exactly what we will do along the course.

The goals of the course are:

  • to learn the most important notions and methods of probability theory and statistics
  • to get an experience of the real life meaning of these notions and methods

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The learning outcomes of the course:

  • Students will learn the basic notions and results of probability theory and statistics.
  • They will learn not only theoretical notions but - through simulations - they will have a "real life experience" of the meaning of the notions and methods.
Lecture 1.
Basic notions: Random numbers, Basic properties of probability
Lecture 2.
Conditional probability, Independence of events
Lecture 3.
Discrete random variables and distributions
Lecture 4.
Expected value of discrete distributions
Lecture 5.
Continuous distributions
Lecture 6.
Expected value of continuous distributions, Standard deviation
Lecture 7.
Normal distributions
Lecture 8.
Two-dimensional distributions
Lecture 9.
Regression
Lecture 10.
Confidence intervals
Lecture 11.
Hypothesis Tests
Lecture 12.
Consultation

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Assessment and grading:

Minimum attendance: 8 lectures plus active participation on the lectures.

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Course materials:

http://math.bme.hu/~vetier/ceu/

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