Statystyka matematyczna - przedmiot prowadzony w języku angielskim 330-ES2-1STM#E
Study profile: general academic.
Form of studies: full-time.
Subject type: Class Group_ 1 BASIC SUBJECTS
Field and discipline of science: social sciences, economics and finance.
Year of study/semester: 1st year, 1st semester.
Entry requirements: knowledge of mathematics and descriptive statistics at the level of a first-cycle graduate.
Number of teaching hours: 15 hours lectures, 30 hours exercises.
Teaching methods: feeding methods (lecture using a Power Point presentation), practical and activating methods (individual work at the blackboard, selected examples analyzed using an Excel spreadsheet, group work, independent work).
ECTS points: 4
Balance of student workload:
Lectures: 15 hours
Exercises: 30 hours
Preparation for exercise: 29 hours
Preparation for the test and exam 15 hours.
Participation in consultations: 9 hours
Exam: 2 hour
TOTAL student workload: 100 hours.
Student workload related to classes:
- requiring direct teacher participation: Number of hours: 50. ECTS points: 2,24
- practical: Number of hours: 30
Rodzaj przedmiotu
Koordynatorzy przedmiotu
Efekty kształcenia
KNOWLEDGE
1STM_W01 Knows in-depth the concept, properties, basic parameters, selected distributions of a random variable KP7_WG5;
1STM_W02 Has in-depth knowledge of the distribution of sample statistics, estimation theory, the issue of minimum sample size and verification of statistical hypotheses KP7_WG5;
SKILLS
1STM_U01 Is able to design and conduct statistical research in accordance with the standards of statistical inference KP7_UW4;
1STM_U02 Is able to interpret the results and draw conclusions about the population based on the results from a random sample KP7_UW4;
SOCIAL COMPETENCE
1STM_K01 Is able to independently expand knowledge and skills in statistical inference KP7_KK3, KP7_KK5.
Kryteria oceniania
The condition for passing the course is achieving the intended learning outcomes. People who have passed the exercises are allowed to take the exam. Written examination in written form. Assessment of the exercises is based on tests and activity during classes. Missing more than 4 teaching hours by a student (unexcused and unmade up) qualifies for failing the course. Absences are counted during consultations.
The general conditions are specified in the Study Regulations of the University of Białystok (Appendix to Announcement No. 6/2022 of the Rector of the University of Białystok of December 7, 2022).
Literatura
Basic literature:
1. Ostasiewicz K., Mathematical statistics, Publishing House of Wrocław University of Economics, Wrocław 2014.
2. Mendenhall W., Beaver R.J., Beaver B.M., Introduction to probability and statistics, Brooks /Cole, Belmont 2009.
3. Waller D.L., Statistics for business, Burlington: Butterworth-Heinemann, Oxford 2008.
4. Prakasa Rao B. L. S., A first course in probability and statistics, World Scientific, cop., New Jersey 2009.
Additional literature:
1. Szabela-Pasierbińska E., Wolańska W., Zięba. A., Statistics in Excel, Publishing House of Wroclaw University of Economics and Business, Wrocław 2022.
2. Kowalczyk B., Witkowski B., Mathematical statistics for management, SGłH Warszawa :2015.
Więcej informacji
Dodatkowe informacje (np. o kalendarzu rejestracji, prowadzących zajęcia, lokalizacji i terminach zajęć) mogą być dostępne w serwisie USOSweb: