The aim of studying and bibliography

The main aim of study: Explore the basic messages and methods of mathematical statistics

The general information about the module: Descriptive statistics, estimation, verification of hipothesis, indepondence of characteristics of population, regresion.

Bibliography required to complete the module

Bibliography used during lectures

1	M. Fisz	Rachunek prawdopodobieństwa i statystyka matematyczna	PWN, Warszawa.	1969
2	M. Sobczyk	Statystyka	PWN, Warszawa.	2005
3	M. Startek	Podstawy rachunku prawdopodobieństwa z elementami statystyki matematycznej	Oficyna Wydawnicza Politechniki Rzeszowskiej.	2005

Bibliography used during classes/laboratories/others

1	W. Krysicki, J. Bartos, W. Dyczka, K. Królikowska, M. Wasilewski	Rachunek prawdopodobieństwa i statystyka matematyczna w zadaniach	WNT, Warszawa.	2003
2	A. i E. Plucińscy	Zadania z rachunku prawdopodobieństwa i statystyki matematycznej dla studentów politechnik	PWN, Warszawa.	1982
3	M. Startek	Podstawy rachunku prawdopodobieństwa z elementami statystyki matematycznej	Oficyna Wydawnicza Politechniki Rzeszowskiej.	2005

Bibliography to self-study

1

A. i E. Plucińscy

Probabilistyka

WNT, Warszawa.

2003

Basic requirements in category knowledge/skills/social competences

Formal requirements: The student satisfies the formal requirements set out in the study regulations

Basic requirements in category knowledge: Knowing the probability theory and analysis.

Basic requirements in category skills: Ability to use basic mathematical apparatus for the probability and analysis

Basic requirements in category social competences: The student is prepared to take substantially justified mathematical operations in order to solve the posed exercise

Module outcomes

MEK	The student who completed the module	Types of classes / teaching methods leading to achieving a given outcome of teaching	Methods of verifying every mentioned outcome of teaching	Relationships with KEK	Relationships with PRK
01	using the statistical characteristics of population and sample space	lecture, classes	written exercisses	K_W03+ K_U33+ K_U34++	P6S_UW P6S_WG P6S_WK
02	use the distributions using in the statistics	lecture, classes	written exercisses	K_W05+ K_K01+	P6S_KK P6S_WG
03	using the simple statistical inference	lecture, classes	written exercisses	K_W02+ K_W04+ K_U35+	P6S_UK P6S_UO P6S_UW P6S_WG P6S_WK
04	using the simple statistical inference with computer	lecture, laboratory	observation of doing	K_W01+	P6S_WK

Attention: Depending on the epidemic situation, verification of the achieved learning outcomes specified in the study program, in particular credits and examinations at the end of specific classes, can be implemented remotely (real-time meetings).

The syllabus of the module

Sem.	TK	The content	realized in	MEK
5	TK01	The basic terms of statistics. Descriptive statistics. Empirical distribution and theoretical distribution. Probability distribution applied in statistics. Estimation. Various types of estimators. The verification of statistical hypothesis. Various types of statistical criteria. Examples of parametric and nonparametric statistical criteria. Investigation of interdependence of characteristics of population and its variability in the time. Statistical experiments.	wykład, ćwiczenia, laboratoria	MEK01 MEK02 MEK03 MEK04

The student's effort

The type of classes	The work before classes	The participation in classes	The work after classes
Lecture (sem. 5)		contact hours: 30.00 hours/sem.	complementing/reading through notes: 5.00 hours/sem.
Class (sem. 5)		contact hours: 15.00 hours/sem.	Finishing/Studying tasks: 5.00 hours/sem.
Laboratory (sem. 5)		contact hours: 15.00 hours/sem.
Advice (sem. 5)		The participation in Advice: 1.00 hours/sem.
Credit (sem. 5)	The preparation for a Credit: 10.00 hours/sem.	The written credit: 2.00 hours/sem.

The way of giving the component module grades and the final grade

The type of classes	The way of giving the final grade
Lecture	Credit on the base of active participation in classes
Class	Written test. The obvious exercises and the extra exercises. The obvious exercises must be solved. Only the obvious exercises - 3.0.
Laboratory	Credit on the base of completed the laboratory exercises
The final grade	After the credit of all types of classes the final grade is 3.0. Moreover solving the extra exercises or aktivity on classes gives higher grade.

Sample problems

Required during the exam/when receiving the credit
z-k-1.pdf

Realized during classes/laboratories/projects
(-)

Others
(-)

Can a student use any teaching aids during the exam/when receiving the credit : yes

Available materials : Simple statistical tables.

The contents of the module are associated with the research profile: no