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Statistics for naturalists

General data

Course ID:	1100-2BO11
Erasmus code / ISCED:	13.2 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (0533) Physics The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title:	Statistics for naturalists
Name in Polish:	Statystyka dla przyrodników
Organizational unit:	Faculty of Physics
Course groups:	ESOO - European programme in ophthalmic optics and optometry; 3rd year courses
ECTS credit allocation (and other scores):	4.00 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
Prerequisites (description):	Student’s necessary mathematical skills required are limited to the fluent integral and differential calculus.
Mode:	Classroom
Short description:	Lecture covers the subject of probability theory and classical mathematical statistics on the elemenary level and covers fundementals of probability calculus, probability distributions and mathematical statistics to the limited degree.
Full description:	1. HISTOGRAMS AND BASIC DISTRIBUTIONS 2. DISCRIPTIVE STATISTICS AND PARAMETERS OF RANDOM VARIABLE 3. PARAMETRIC ESTIMATION 4. HYPOTHESIS TESTS 5. CORRELATION AND REGRESSION
Bibliography:	Suggested main book: • J. Koronacki i J. Mielniczuk, Statystyka dla studentów kierunków technicznych i przyrodniczych, Wydawnictwo Naukowo-Techniczne, Warszawa, 2001 Additional books, light version: • J. Jóźwiak, J. Podgórski, Statystyka od podstaw, PWE Polskie Wydawnictwo Ekonomiczne, 2012; wersja uproszczona: J. Podgórski, Statystyka dla studiów licencjackich, PWE 2010 •J. Taylor, Wstęp do analizy błędu pomiarowego, Wydawnictwa Naukowe PWN 2012. Additional books, for the ambitious: • A. Plucińska i E. Pluciński, Probabilistyka, Wydawnictwo Naukowo-Techniczne, 2000 • R. Nowak, Statystyka dla fizyków, Wydawnictwa Naukowe PWN, 2002 (+ ćwiczenia, 2002) Problems (and solutions): • W. Krysicki i inni, Rachunek prawdopodobieństwa i statystyka matematyczna w zadaniach, część I i II, Wydawnictwo Naukowe PWN, Warszawa, 1995 Additional reading for fun: • A. Łomnicki, Wprowadzenie do statystyki dla przyrodników, Wydawnictwo Naukowe PWN, Warszawa, 1999 • P. Durka, Wstęp do współczesnej statystyki , Wydawnictwo Adamantan, 2003.
Learning outcomes:	Knowledge Student knows basic methods of statistical analyses of data Student understands limitations of these methods Competence Student identifies problems of data analyses in terms of statistical mathematics Student is able to implement basic methods of statistical analyses of data in simple cases Student knows how to interpret results of such analyses
Assessment methods and assessment criteria:	• Participation in lecture courses is mandatory, but absences are not penalized (but there will be no possibliity to write a test) • Participation in practicals is mandatory. In maximum 2 absences without leave are allowed • There will be homework given to students. It is not obligatory • There will be written short tests during lectures. • Course ends with written and oral examination

Classes in period "Winter semester 2023/24" (past)

Time span:	2023-10-01 - 2024-01-28	Selected timetable range: weekly course term Navigate to timetable MO TU WYK CW W TH FR
Type of class:	Classes, 30 hours, 30 places more information Lecture, 15 hours, 30 places more information
Coordinators:	Marcin Konecki
Group instructors:	Marcin Konecki, Karol Łukanowski
Students list:	(inaccessible to you)
Examination:	Course - Examination Lecture - Examination

Classes in period "Winter semester 2024/25" (future)

Time span:	2024-10-01 - 2025-01-26	Selected timetable range: weekly course term Navigate to timetable MO TU WYK CW W TH FR
Type of class:	Classes, 30 hours, 30 places more information Lecture, 15 hours, 30 places more information
Coordinators:	Marcin Konecki
Group instructors:	Marcin Konecki
Students list:	(inaccessible to you)
Examination:	Course - Examination Lecture - Examination

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