Mathematical Statistics
General data
| Course ID: | 0600-MS1-3SM | Erasmus code / ISCED: |
11.103
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(unknown)
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| 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 |
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| ECTS credit allocation (and other scores): |
4.00  view allocation of credits
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| Language: | Polish | ||
| Type of course: | obligatory courses |
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| 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. |
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| 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 |
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| 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. |
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| 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 |
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| Assessment methods and assessment criteria: |
The overall form of credit for the course: final exam |
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Classes in period "Academic year 2016/2017" (past)
| Time span: | 2016-10-01 - 2017-06-30 |
 see course schedule
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| Type of class: |
Class, 30 hours more information
Lecture, 30 hours more information
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| 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. | |
Copyright by University of Bialystok.