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STATISTICS ISS2003

•    Course codę:

•    Course title:

ISS2003

Statistics

• Language of the lecturer:    polish

Course form	Lecture	Classes	Laboratory	Project	Seminar
Number of hours/week*	1	1
Number of hours/semester*	15	15
Form of the course completion	Positive grade	Positive grade
ECTS credits	2	1
Total Student’s Workload	60	30

•    Level of the course (basic/advanced): basie

•    Prereąuisites:

•    Name, first name and degree of the lecturer/supervisor: Andrzej Pawlak, Ph.D.

•    Names, first names and degrees of the team’s members: Wojciech Cieżak, Ph.D.; Year: I Semester: 1

•    Type of the course (obligatory/optional): obligatory

•    Aims of the course (effects of the course): Using of statistical method to describe a collection of data and to draw inferences about the processes and occurrences from the field of environmental protection engineering.

•    Form of the teaching (traditional/e-leaming): traditional

•    Course description: Getting of knowledge concerning methods of descriptive and mathematical statistics. Probability space. Definition of probability. Estimation. Testing of statistical hypothesis. Analysis of variance. Correlation. Linear regression.

• Lecture:

Particular lectures contents	Number ofhours
1. Descriptive statistics.	2
2. Probability space. Definitions of probability.	1
3. Random variables. Distributions ofdiscrete random variables.	2
4. Distributions of continuous random variables.	1
5. Standardization of a random variable. Tables of the Standard
normal, t-student, chi-sąuare and F distributions.	1
6. Introduction to mathematical statistics.	1
7. Point estimation and confidence intervals.	1
8. Testing of statistical hypotheses. Parametric and nonparametric
tests.	1
9. Analysis of \ariance.	1
10. Multidimensional random mriables. Linear correlation of two