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Mathematical Statistics

General data

Course ID: 0600-MS1-3SM Erasmus code / ISCED: 11.103 / (unknown)
Course title: Mathematical Statistics Name in Polish: Statystyka matematyczna
Department: (in Polish) Zakład Dydaktyki i Nowoczesnych Technologii w Kształceniu
Course groups: (in Polish) 3L stac. I st. studia matematyki - przedmioty ogólne
(in Polish) 3L stac. I st. studia matematyki specj. matematyka teoretyczna – przedmioty fakultatywne
ECTS credit allocation (and other scores): 4.00
view allocation of credits
Language: Polish
Type of course:

obligatory courses

Short description:

Course objectives: Learning outcomes:By the end of the course the student should have developed the skills to: understand and use statistical interference in empirical reasoning and statistical interference based on data from a random sample; be able to read and interpret statistics data.

Full description:

Course profile: academic

Form of study: stationary

Course type: facultative

Academic discipline: Mathematics, field of study in the arts and science: mathematics

Year: 3, semester: 6

Prerequisities: Probability Calculus I, Mathematical Analysis III

lecture 30 h. exercise class 15 h. laboratory class 15 h.

Verification methods: lectures, exercises, consultations, projects, presentations, studying literature, home works, discussions in groups.

ECTS credits: 4

Balance of student workload:

attending lectures15x2h = 30h

attending exercise classes laboratories 7x4h + 2h(preliminary teaching) = 30h

preparation for classes 7x3h = 21h

completing notes after exercises and lectures 7x2h = 14h

consultations 5x1h = 5h

the final examination: preparation.and take 12h + 3h = 15h

Quantitative description

Direct interaction with the teacher: 68 h., 2 ECTS

Practical exercises: 70 h., 2 ECTS

Bibliography: (in Polish)

1. S.D. Silvey Wnioskowanie statystyczne PWN, Warszawa 1978.

2. W. Skarżyński Statystyka praktyczna PWN, Warszawa 2007.

3. M. Sobczak Statystyka PWN, Warszawa 2005.

4. R. Zieliński Siedem wykładów wprowadzających do statystyki matematycznej PWN, Warszawa 1990.

Literatura uzupełniająca:

1. J. Jóźwiak, J. Podgórski Statystyka od podstaw PWE, Warszawa 1998.

2. J. Koronacki, J. Mielniczuk Statystyka: dla studentów kierunków technicznych i przyrodniczych WNT, Warszawa 2006.

Learning outcomes:

Learning outcomes:

Know the fundamental theorems and techniques of estimation and hypothesis testing or verification.K_W04, K_W03

Be able to use the statistical characteristics of the general population and counterparts of these characteristics for random sampling.K_U34

Be able to can carry out simple statistical inference for point estimation, interval estimation and hypothesis testing.K_U35

Assessment methods and assessment criteria:

The overall form of credit for the course: final exam

Classes in period "Academic year 2016/2017" (past)

Time span: 2016-10-01 - 2017-06-30
Choosen plan division:


magnify
see course schedule
Type of class: Class, 30 hours more information
Lecture, 30 hours more information
Coordinators: Jarosław Kotowicz
Group instructors: Jarosław Kotowicz, Bartosz Kwaśniewski
Students list: (inaccessible to you)
Examination: Examination
Notes: (in Polish)

Skala ocen stosowana na przedmiocie:

• niedostateczny – do 44,999 punktów;

• dostateczny – od 45,00 do 60,00 punktów;

• dostateczny plus – od 60,001 do 70,00 punktów;

• dobry – od 70,001 do 80,00 punktów;

• dobry plus – od 80,001 do 90,00 punktów;

• bardzo dobry – od 90,001 punktów.

Course descriptions are protected by copyright.
Copyright by University of Bialystok.