Mathematical Statistics

General data

Course ID:	0600-MS1-3SM
Erasmus code / ISCED:	11.103 The subject classification code consists of three to five digits, where the first three represent the classification of the discipline according to the Discipline code list applicable to the Socrates/Erasmus program, the fourth (usually 0) - possible further specification of discipline information, the fifth - the degree of subject determined based on the year of study for which the subject is intended. / (unknown)
Course title:	Mathematical Statistics
Name in Polish:	Statystyka matematyczna
Organizational unit:	(in Polish) Instytut Matematyki.
Course groups:
ECTS credit allocation (and other scores):	(not available) Basic information on ECTS credits allocation principles: the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS; the student’s weekly hourly workload is 45 h; 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes; weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS; work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load. 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

This course is not currently offered.

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