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Descriptive statistics

General data

Course ID: WSE-BW-SO
Erasmus code / ISCED: (unknown) / (unknown)
Course title: Descriptive statistics
Name in Polish: Statystyka opisowa
Organizational unit: Faculty of Social and Economic Sciences
Course groups:
Course homepage: https://teams.microsoft.com/l/team/19%3a68995e9c87874a75a84711a0dc512ecb%40thread.tacv2/conversations?groupId=7ebe903e-11b1-4829-ad0c-f5fe2ab794d6&tenantId=12578430-c51b-4816-8163-c7281035b9b3
ECTS credit allocation (and other scores): 2.00 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.
Language: Polish
Subject level:

elementary

Learning outcome code/codes:

BW1_W01, BW1_U01

Short description:

The main aim of the subject is to present the basic probabilistic and statistics methods which will be useful in analysis of statistical data.

Full description:

We will present the notions of probability, random variable, expected values of a random variable, probability distribution. We will show how use this notions in analysis os statistical data. We will also show how to use Excel in building statistical analysis.

Bibliography:

Wstęp do teorii prawdopodobieństwa, J. Jakubowski, R. Sztencel

Rachunek prawdopodobieństwa dla (prawie) każdego, J. Jakubowski, R. Sztencel

Siedem wykładów ze statystyki, R. Zieliński

Efekty kształcenia i opis ECTS:

2 ECTS points

BW1_W01, BW1_U01

Assessment methods and assessment criteria: (in Polish)

zaliczenie na ocenę

Classes in period "Winter semester 2021/22" (past)

Time span: 2021-10-01 - 2022-01-31
Selected timetable range:
Navigate to timetable
Type of class:
Lectures, 30 hours more information
Coordinators: Tomasz Rogala
Group instructors: Tomasz Rogala
Students list: (inaccessible to you)
Examination: Course - graded credit
Lectures - graded credit
(in Polish) E-Learning:

(in Polish) E-Learning

Type of subject:

obligatory

(in Polish) Grupa przedmiotów ogólnouczenianych:

(in Polish) nie dotyczy

Course descriptions are protected by copyright.
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