# Statistics I

Course ID:
ECO_121N
Semester:
Year of Study:
Category:
For Erasmus Students:
No

## Learning Outcomes

By the end of this course the student are expected to:

1. Understand and apply descriptive statistics. Students learn how to use tables and graphs in order to describe practical situations
2. Have basic knowledge of elementary probability theory and of random variables.
3. Understand theory of basic probability distributions and apply it in practical examples.

By the end of this course the student will, furthermore, have developed the following abilities and skills:

1. Ability to exhibit knowledge and understanding of the essential facts, concepts, theories and applications which are related to introductory statistics and probability theory.
2. Αbility to adopt and apply methodology for solving problems in the fields of descriptive statistics, probability theory and probability distributions.

## Course Contents

Population, sample, sampling methods, variables. Statistical data, tables, figures. Frequencies. Measures of central tendency. Measures of dispersion. Moments, measures of asymmetry and kurtosis. Introduction to probability theory. Density and distribution functions. Distributions for discrete random variables (Binomial, Hyper geometric, Poisson, Geometric). Distributions for continuous random variables. Normal distribution. Parameters of bivariate distributions. Covariance, correlation coefficient.

## Teaching Activities

Lectures (4  hours per week) and Tutorials (2 hours per week x 13 weeks)

## Teaching Organization

 Activity Work load Lectures (4  hours per week x 13 weeks) 52 hours (4x13) Tutorials (2 hours per week x 13 weeks) - solving of representative problems 26 hours (2x13) Hours for private study of the student 122

## Assessment

The overall course grade is the sum of:

1. The final exam grade plus
2. 20 percent of the mid-term examination grade. This examination is elective.

The above student evaluation method is a pilot one and will be re-examined at the end of academic year 2018-2019.

## Use of ICT

Use of e-class.

### Course Info

Teaching Hours:
6 hours per week
ECTS Credits:
8.00
Teaching Credits:
5.00
Weight:
2.00
Language:
Teaching Method:
General Competences:

### Current Tutors

Instructor:

#### Polymenis Athanasios

Assistant Professor
Field of Expertise:
Statistics, Mathematics, Econometrics
Organic Unit / Lab:
Laboratory of Quantitative Economics and Information Systems
E-mail:
Telephone:
Office Hours:
Tuesday 16.00-15.00
Wednesday 10.00-12.00