STATISTICS

Learning outcomes:

This is an introductory course to probabilities and statistics. Statistics is the study of the collection, organization, analysis, interpretation and presentation of data. Statistical methods are useful to all aspects of real life as business, management, education, medicine e.t.c. There are two major parts in the course:

-Descriptive statistics. Collection, classification, description and presentation of data.

-Probability theory.

All methods studied in the course are implemented using MS EXCEL.

After successful attendance of the course the students will be able to:

Collect, classify, present a set of data
Address real life probability problems
Know basic probability distributions

Features

Code : X21
Semester : 2nd
Effort : 7.5 ECTS
Hours : 4 per week
Type : Mathematics
Department : Economics
Instructor : Theodore MONOVASSILIS
Exams : Yes

FULL course outline

Course Contents:

1) Introduction – Basic concepts (population, sample – sampling designs, type of data).

2) Descriptive statistics (frequency tables, graphical representation of data, measures of central tendency, measures of variation, measures of symmetry, outliers).

3) Introduction to Probability theory (random experiment, event, sample space, classical definition of probability, basic counting principles, combinations, permutations), conditional probability.

4) Random variables, distribution functions, discrete random variables, continuous random variables, expectation, variance. Bernoulli distribution, Binomial distribution, Geometric distribution, Poisson distribution, Normal distribution.