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Basics of statistics

General data

Course ID: 2751-PL-S1-2-PSt
Erasmus code / ISCED: (unknown) / (0548) IMathematics and statistics, inter-disciplinary programmes The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title: Basics of statistics
Name in Polish: Podstawy statystyki
Organizational unit: Faculty of Political and Security Sciences
Course groups: (in Polish) Politologia I stopnia - 2 rok - studia stacjonarne - sem. zimowy
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:

(in Polish) brak

Type of course:

(in Polish) przedmiot obowiązkowy

Total student workload:

(in Polish) 100-120 godzin

Learning outcomes - knowledge:

(in Polish) K_W02 Absolwent zna i rozumie: terminologię oraz podstawowe teorie oraz ogólną metodologię badań w zakresie nauk o polityce.

Learning outcomes - skills:

(in Polish) K_U08 Absolwent potrafi: Analizuje i prognozuje procesy i zjawiska polityczne w kontekście nauk o polityce.

Learning outcomes - social competencies:

(in Polish) K_K01 Absolwent jest gotowy do zdobywania wiedzy, informacji i danych potrzebnych w procesie rozwiązywania praktycznych problemów w życiu zawodowym ze szczególnym uwzględnieniem problemów z obszaru nauk o polityce i administracji.

Observation/demonstration teaching methods:

- display

Expository teaching methods:

- participatory lecture

Exploratory teaching methods:

- practical

Short description:

The aim of the course is to assimilate the basic issues of statistical data analysis by students. The program of the subject focuses on descriptive statistics - after completing the course, students should know and understand the basic concepts of statistics, understand and be able to calculate statistical measures in the field of descriptive statistics, be able to interpret the statistical description.

Full description:

Class issues

1. Organizational classes

a. Schedule and material for classes.

b. Conditions for completing the course.

c. Recommended literature.

d. Subject and definition of statistics. What is it useful for?

2. Basic concepts of statistics

a. History of the development of statistical research. Functions of statistics.

b. Statistics departments and their characteristics. Social statistics and its specificity.

c. Structure of the statistical survey.

d. Tests and their types. Statistical unit, sample, population.

e. Variables and their types. Measurement. Statistic data.

f. Distribution of variable values ​​and types of distributions. Detailed and point series and matrices of variable values. Class ranges. Typical and atypical distributions, one-, bi- and multimodal, normal distribution.

3. Descriptive statistics (statistical description)

a. Distributions of the variable values ​​(frequencies, fractions) - absolute and relative values ​​(percentages - calculation method), cumulative values.

b. Measures of central tendency and positional measures - mean and its types, dominant (modal value), median, quantiles (quartiles, deciles, percentiles etc.).

c. Measures of deviation (dispersion) - range, average deviation, variance, standard deviation, quarter deviation, coefficients of variation.

d. Symmetric and asymmetric distributions. Right and left side asymmetry. Measures of asymmetry.

e. Platokurtic and leptokurtic distributions. Measurements of concentration.

4. Graphical presentation of data and analysis results

a. Rules for selecting statistical measures.

b. Principles of creating tables and charts, types of charts and their application. Rules for placing tables and charts in written texts.

5. Measure of correlation

a. The essence of correlation. Correlations and causal dependencies. Apparent correlations.

b. Basic correlation coefficients and rules of their application. Rules for interpreting the results.

6. Computer assisted statistical data analysis - basics of the SPSS program.

Bibliography:

Zalecana literatura

H.M. Blalock, Statystyka dla socjologów, PWN, Warszawa 1975.

G. Wieczorkowska, P. Kochański, M. Eljaszuk, Statystyka. Wprowadzenie do analizy danych sondażowych i eksperymentalnych, Wydawnictwo Naukowe Scholar, Warszawa 2004.

Z. Rogoziński, Statystyka społeczna – opis statystyczny, Wydawnictwa Uniwersytetu Warszawskiego, Warszawa 1964.

P. Francuz, R. Mackiewicz, Liczby nie wiedzą skąd pochodzą. Przewodnik po metodologii i statystyce nie tylko dla psychologów, Wydawnictwo KUL, Lublin 2005.

M. Nawojczyk, Przewodnik po statystyce dla socjologów, SPSS Polska, Kraków 2005.

A. Malarska, Statystyczna analiza danych wspomagana programem SPSS, SPSS Polska, Kraków 2005.

T.W. Pavkov, K.A. Pierce, Do biegu, gotowi – start! Wprowadzenie do SPSS dla Windows, Gdańskie Wydawnictwo Psychologiczne, Gdańsk 2005.

M. Sobczyk, Statystyka, Wydawnictwo Naukowe PWN, Warszawa 2000.

M. Zieliński, Wstęp do metod statystycznych w naukach społecznych. Podręcznik akademicki, Uniwersytet Zielonogórski, Zielona Góra 2011.

H. Augustyniak, Statystyka opisowa z elementami demografii, Ars Boni Et Aequi, Poznań 2003.

D.M. Lane et al., Online Statistics Education: An Interactive Multimedia Course of Study, http://onlinestatbook.com/index.html

Assessment methods and assessment criteria:

The exam consists of 3 parts:

• written work - the use of statistical tools for analyzes based on existing data

• attendance - 2 absences per semester are allowed

• assessment of activity and preparation for classes

Practical placement:

n.a.

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

Time span: 2021-10-01 - 2022-02-20
Selected timetable range:
Navigate to timetable
Type of class:
Discussion seminar, 30 hours more information
Coordinators: Wiktor Szewczak
Group instructors: Wiktor Szewczak
Students list: (inaccessible to you)
Examination: Course - Grading
Discussion seminar - Grading

Classes in period "Winter semester 2022/23" (past)

Time span: 2022-10-01 - 2023-02-19
Selected timetable range:
Navigate to timetable
Type of class:
Discussion seminar, 30 hours more information
Coordinators: Wiktor Szewczak
Group instructors: Wiktor Szewczak
Students list: (inaccessible to you)
Examination: Course - Grading
Discussion seminar - Grading

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

Time span: 2023-10-01 - 2024-02-19
Selected timetable range:
Navigate to timetable
Type of class:
Discussion seminar, 30 hours more information
Coordinators: Wiktor Szewczak
Group instructors: Wiktor Szewczak
Students list: (inaccessible to you)
Examination: Course - Grading
Discussion seminar - Grading

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

Time span: 2024-10-01 - 2025-02-23

Selected timetable range:
Navigate to timetable
Type of class:
Discussion seminar, 30 hours more information
Coordinators: Wiktor Szewczak
Group instructors: Wiktor Szewczak
Students list: (inaccessible to you)
Examination: Course - Grading
Discussion seminar - Grading
Course descriptions are protected by copyright.
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