*Conducted in term:*2020Z

*Erasmus code:*14.3

*ISCED code:*0311

*ECTS credits:*1

*Language:*English

*Organized by:*Faculty of Economic Sciences

*Related to study programmes:*

# Statistics and Econometrics 2400-QFU1STE

1. Introduction & organizational tasks [Lecture 1]

2. Evaluation Exam [Lecture 2]

3. Introduction to statistics [Lectures 3-5]

a. Descriptive statistics,

i. Population versus sample,

ii. Measures of central tendency, variation & position,

b. Probability, Random Variable & Probability distributions,

i. Discrete and continuous variables,

ii. Central Limit Theorem,

iii. Main discrete and continuous probabilistic distributions: normal, lognormal, geometric, binomial, Poisson, Student's t, F, chi-square, gamma, normal multivariate distribution.

4. Basics of statistical interference [Lectures 6-9]

a. Essential concepts of statistical inference,

b. Point estimation and confidence intervals,

c. Statistical tests about parameters,

d. Tests about frequencies,

e. Testing hypotheses of independence, normality, and symmetry for returns,

f. Nonparametric tests of goodness-of-fit, independence, two-sample comparison,

g. One-factor and multiple ANOVA,

h. Nonparametric ANOVA,

i. Covariance, correlation.

5. Introduction to Econometrics [Lectures 10-14]

a. What is Econometrics?

b. Econometrics model & estimation of parameters,

c. Regression analysis: estimation, OLS, Likelihood functions, Tests of fit,

d. Elementary stochastic processes,

e. Simple Monte-Carlo simulations.

## Type of course

## Course coordinators

## Mode

## Learning outcomes

The students will learn how to perform the main procedures of statistical inference, such as point estimation, interval estimation, parametric and nonparametric statistical tests, and to give a statistically correct interpretation of the results. Additionally will learn how to prepare basic econometrics model using basic approaches (such as OLS).KU01, KS03, KS02

## Assessment criteria

At the 2nd Lecture a written Evaluation Exam will be conducted. The students that wouldn’t pass the Evaluation Exam will be obliged to:

• be present at the classes (according to common University of Warsaw rules),

• pass written, open book Final Exam.

## Bibliography

Books:

Ott, R. Longnecker, M. (2010) An Introduction to Statistical Methods and Data Analysis, Cengage Learning , 6th Edition.

Larson, R. Farber, E. Farber, B. (2011), Elementary Statistics: Picturing the World, Addison Wesley, 5th Edition.

Brooks, Ch. (2008), Introductory Econometrics for Finance, Cambridge University Press, 2nd edition.

Gujarati, D. (2004) Basic Econometrics, Tata McGraw Hill , 4th Edition.

Amemiya, T. (1994) Introduction to Statistics and Econometrics, Harvard University Press

## Additional information

Information on *level* of this course, *year of study* and semester when the course
unit is delivered, types and amount of *class hours* - can be found in course structure
diagrams of apropriate study programmes. This course is related to
the following study programmes:

Additional information (*registration* calendar, class conductors,
*localization and schedules* of classes), might be available in the USOSweb system: