Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

Wydział Ekonomiczny - Economics (S1)
specjalność: Property Valuation and Real Estate Transactions

Sylabus przedmiotu Descriptive statistics:

Informacje podstawowe

Kierunek studiów Economics
Forma studiów studia stacjonarne Poziom pierwszego stopnia
Tytuł zawodowy absolwenta licencjat
Obszary studiów charakterystyki PRK
Profil ogólnoakademicki
Moduł
Przedmiot Descriptive statistics
Specjalność przedmiot wspólny
Jednostka prowadząca Katedra Zastosowań Matematyki w Ekonomii
Nauczyciel odpowiedzialny Joanna Perzyńska <joanna.perzynska@zut.edu.pl>
Inni nauczyciele Aneta Becker <aneta.becker@zut.edu.pl>, Katarzyna Wawrzyniak <Katarzyna.Wawrzyniak@zut.edu.pl>
ECTS (planowane) 5,0 ECTS (formy) 5,0
Forma zaliczenia egzamin Język polski
Blok obieralny Grupa obieralna

Formy dydaktyczne

Forma dydaktycznaKODSemestrGodzinyECTSWagaZaliczenie
wykładyW2 35 3,00,50egzamin
laboratoriaL2 30 2,00,50zaliczenie

Wymagania wstępne

KODWymaganie wstępne
W-1The student has knowledge of the basics of mathematical analysis and general economic knowledge.
W-2The student is able to use a spreadsheet.

Cele przedmiotu

KODCel modułu/przedmiotu
C-1Obtaining basic knowledge about: methods of obtaining and presenting statistical data; statistical methods to study regularity in the structure, interdependence and dynamics of socio-economic phenomena.
C-2Gaining practical skills in the application of statistical methods using popular statistical packages and a spreadsheet.
C-3Preparation for: active participation in the team, formulation of the research problem, selection of the appropriate methodology and implementation, development and interpretation of the test results.

Treści programowe z podziałem na formy zajęć

KODTreść programowaGodziny
laboratoria
T-L-1Presentation of statistical material - construction of statistical series and tables, drawing up statistical charts based on raw statistical material.4
T-L-2Test: basic concepts and stages of statistical research.1
T-L-3Calculation and interpretation of classical and positional parameters characterizing the empirical distribution of features in the statistical population. Comprehensive analysis of the structure.8
T-L-4Test: analysis of the structure.2
T-L-5Determination and interpretation of the relationship strength measures for qualitative characteristics, strength and direction of the relationship for quantitative characteristics, parameters of the linear regression function.6
T-L-6Determination and interpretation of increments and individual indicators.3
T-L-7Mechanical and analytical trend determination. Determination and interpretation of absolute and relative measures characterizing seasonal fluctuations.4
T-L-8Test: analysis of interdependence and dynamics2
30
wykłady
T-W-1Subject of statistical research. Basic concepts (collectivity and statistical unit, statistical feature). Statistical research (stages, methods, statistical material and methods of its collection).7
T-W-2Analysis of the structure of mass processes (empirical distribution and types of distributions, distribution parameters: classic and positional, absolute and relative, parameters of central tendency, measures of differentiation, measures of asymmetry, measures of flattening, concentration measurement).10
T-W-3Analysis of the interdependence of mass processes (correlation and regression of quantitative characteristics, correlation of qualitative characteristics).8
T-W-4STATISTICA in the analysis of the structure and interdependence of mass phenomena2
T-W-5Analysis of time series (methods of testing short-term changes, decomposition of time series).8
35

Obciążenie pracą studenta - formy aktywności

KODForma aktywnościGodziny
laboratoria
A-L-1Preparation for classes.5
A-L-2Studying the literature.5
A-L-3Homework (individual and group).5
A-L-4Preparation for tests.5
A-L-5Participation in laboratory classes.30
50
wykłady
A-W-1Preparation to exam.26
A-W-2Studying the literature.12
A-W-3Participation in lectures.35
A-W-4Participation in the exam.2
75

Metody nauczania / narzędzia dydaktyczne

KODMetoda nauczania / narzędzie dydaktyczne
M-1Information-problem lecture using multimedia techniques.
M-2Laboratory exercises using a computer and a didactic discussion related to the lecture.

Sposoby oceny

KODSposób oceny
S-1Ocena podsumowująca: Exam in a written form (test) containing theoretical issues and tasks for self-solution.
S-2Ocena formująca: Checking the results of teamwork to identify gaps in the student's knowledge and skills.
S-3Ocena formująca: Tests used to assess students' periodic achievements - an independent solution to problem tasks using a spreadsheet and statistical packages.
S-4Ocena podsumowująca: Completion of laboratory exercises based on test grades and activity in class.

Zamierzone efekty uczenia się - wiedza

Zamierzone efekty uczenia sięOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
Ec_1A_B06_W01
The student has knowledge of the subject of research and basic concepts of descriptive statistics and stages of statistical research, methods of obtaining and presenting statistical data and statistical methods of regularity testing in terms of structure, interdependence and dynamics of socio-economic phenomena.
Ec_1A_W01, Ec_1A_W03, Ec_1A_W06C-1, C-3T-W-3, T-W-5, T-W-1, T-W-2, T-L-1, T-L-3, T-L-5, T-L-7, T-L-4, T-L-2, T-L-6, T-L-8M-1, M-2S-3, S-1, S-4, S-2
Ec_1A_B06_W02
The student knows popular statistical packages and knows how to use statistical knowledge to solve tasks on socio-economic issues.
Ec_1A_W01, Ec_1A_W03, Ec_1A_W06C-2, C-3T-W-4, T-L-1, T-L-3, T-L-5, T-L-7, T-L-4, T-L-2, T-L-6, T-L-8M-1, M-2S-3, S-2

Zamierzone efekty uczenia się - umiejętności

Zamierzone efekty uczenia sięOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
Ec_1A_B06_U01
The student can organize a statistical survey, collect, present and analyze statistical material.
Ec_1A_U01, Ec_1A_U02, Ec_1A_U04C-2, C-3T-W-3, T-W-5, T-W-1, T-W-2, T-L-1, T-L-2M-1, M-2S-3, S-1, S-4, S-2
Ec_1A_B06_U02
Student is able to apply appropriate statistical methods and tools and interpret the results of conducted research, as well as refer them to business practice.
Ec_1A_U01, Ec_1A_U02, Ec_1A_U04C-1, C-2, C-3T-W-3, T-W-5, T-W-1, T-W-2, T-L-3, T-L-5, T-L-7, T-L-4, T-L-6, T-L-8M-1, M-2S-3, S-1, S-4, S-2

Zamierzone efekty uczenia się - inne kompetencje społeczne i personalne

Zamierzone efekty uczenia sięOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
Ec_1A_B06_K01
The student is ready to solve problems related to the selection of methods and tools used in descriptive statistics.
Ec_1A_K01C-1, C-2, C-3T-W-3, T-W-5, T-W-1, T-W-2, T-L-1, T-L-3, T-L-5, T-L-7, T-L-4, T-L-2, T-L-6, T-L-8M-1, M-2S-3, S-1, S-4, S-2

Kryterium oceny - wiedza

Efekt uczenia sięOcenaKryterium oceny
Ec_1A_B06_W01
The student has knowledge of the subject of research and basic concepts of descriptive statistics and stages of statistical research, methods of obtaining and presenting statistical data and statistical methods of regularity testing in terms of structure, interdependence and dynamics of socio-economic phenomena.
2,0The student does not know the subject of research and basic concepts of descriptive statistics, does not know how to obtain and present statistical material, and can not indicate methods for studying regularities in the field of structure, interdependence and dynamics of socio-economic phenomena.
3,0The student knows some of the basic concepts of descriptive statistics, knows (with the teacher's help) how to obtain and present statistical material and is able to indicate some methods of studying regularities in the structure, interdependence and dynamics of socio-economic phenomena.
3,5The student knows most of the basic concepts of descriptive statistics, knows (with the teacher's help) how to obtain and present statistical material and can indicate a few methods for studying regularities in the structure, interdependence and dynamics of socio-economic phenomena.
4,0The student can independently enumerate and define all the basic notions of descriptive statistics, knows the subject of the research and how to obtain and present statistical material, as well as independently select appropriate methods for studying regularities in the structure, interdependence and dynamics of socio-economic phenomena.
4,5The student is able to name and define all the basic notions of descriptive statistics, knows the subject of the research and the ways of obtaining and presenting statistical data, and knows how to select adequate methods to investigate the regularities of the structure, interdependence and dynamics of socio-economic phenomena and justify their choice.
5,0The student knows the subject of research and all the required concepts of descriptive statistics, knows stages of statistical research, the ways of obtaining and presenting statistical data and is able to independently recognize the studied statistical regularity, independently propose appropriate statistical methods for studying regularities in the field of structure, interdependence and dynamics of socio-economic phenomena.
Ec_1A_B06_W02
The student knows popular statistical packages and knows how to use statistical knowledge to solve tasks on socio-economic issues.
2,0The student does not know statistical packages and does not know how to use the possessed statistical knowledge to solving tasks of socio-economic problems.
3,0The student knows several modules of statistical packages and knows (with the teacher's help) how to use statistical knowledge to solve tasks on socio-economic issues.
3,5The student knows all the modules of the known statistical packages and knows (with the teacher's help) how to use the knowledge of statistics to solve (indicated by the teacher) tasks of socio-economic socio-economic problems.
4,0The student knows all the modules of the known statistical packages and knows how to use the knowledge possessed to solve (indicated by the teacher) tasks of socio-economic problems.
4,5The student knows all modules of known statistical packages and knows how to use their statistical knowledge to solve independently proposed tasks on socio-economic issues.
5,0The student is able to independently propose the use of appropriate statistical tools, knows how to assess their usefulness for studying regularities in the structure, interdependence and dynamics of socio-economic phenomena.The student knows how to use all the modules of known statistical packages.

Kryterium oceny - umiejętności

Efekt uczenia sięOcenaKryterium oceny
Ec_1A_B06_U01
The student can organize a statistical survey, collect, present and analyze statistical material.
2,0The student can not organize a statistical survey, collect, present and analyze the statistical material.
3,0The student can organize some stages of statistical research and (with the teacher's help) to collect, present and analyze statistical material
3,5Students can organize most of the stages of statistical research and in cooperation with the teacher: collect, present and analyze the statistical material.
4,0The student is able to organize a statistical survey by himself, however, presenting and analyzing the collected statistical material is done in cooperation with the teacher.
4,5The student is able to independently organize a statistical survey, collect, present and analyze statistical material and use the known statistical packages.
5,0The student is able to organize a statistical survey, acquire and present statistical material appropriate to the statistical regularity under examination, make a comprehensive comparative analysis and use the known statistical packages.
Ec_1A_B06_U02
Student is able to apply appropriate statistical methods and tools and interpret the results of conducted research, as well as refer them to business practice.
2,0The student can not apply appropriate methods and statistical tools and conduct statistical research.
3,0The student is able to apply some (indicated by the teacher) methods and statistical tools and interpret (with the teacher's help) the results of the survey.
3,5The student is able to apply the indicated (by the teacher) methods and statistical tools and interpret (with the teacher's help) the results of conducted research and tries to relate them to the economic practice.
4,0The student is able to independently apply the methods and statistical tools and interpret the results of the research and apply them to economic practice.
4,5The student is able to apply the methods and statistical tools, interpret the results of the tests conducted and relate them to economic practice. The student is able to make the necessary calculations by using the known statistical packages together with the appropriate visualization.
5,0The student can apply all the methods and statistical tools known in the course, can assess their usefulness in studying regularities in the structure, interdependence and dynamics of socio-economic phenomena and justify their choice, to interpret the obtained results and to make the necessary calculations on their own, using the known statistical packages together with the appropriate visualization.

Kryterium oceny - inne kompetencje społeczne i personalne

Efekt uczenia sięOcenaKryterium oceny
Ec_1A_B06_K01
The student is ready to solve problems related to the selection of methods and tools used in descriptive statistics.
2,0The student is not ready to solve problems related to the choice of methods and tools used in descriptive statistics
3,0The student is ready to solve problems related to the selection of methods and tools used in descriptive statistics at a sufficient level
3,5The student is ready to solve problems related to the selection of methods and tools used in descriptive statistics at a more than sufficient level
4,0The student is ready to solve problems related to the selection of methods and tools used in descriptive statistics at a good level
4,5The student is ready to solve problems related to the selection of methods and tools used in descriptive statistics at a more than good level
5,0The student is ready to solve problems related to the selection of methods and tools used in descriptive statistics at a very good level

Literatura podstawowa

  1. D. R. Anderson, D. J. Sweeney, T. A. Williams, Statistics For Business And Economics, Cengage Learning, South-Western, 2011
  2. A.D. Aczel, J. Sounderpandian, Complete Business Statistics, McGraw-Hill, 2008

Literatura dodatkowa

  1. Bąk I., Markowicz I., Mojsiewicz M., Wawrzyniak K., Statystyka opisowa. Przykłady i zadania, CeDeWu, Warszawa, 2015
  2. Bąk I., Markowicz I., Mojsiewicz M., Wawrzyniak K., Wzory i tablice. Metody statystyczne i ekonometryczne, CeDeWu, Warszawa, 2015

Treści programowe - laboratoria

KODTreść programowaGodziny
T-L-1Presentation of statistical material - construction of statistical series and tables, drawing up statistical charts based on raw statistical material.4
T-L-2Test: basic concepts and stages of statistical research.1
T-L-3Calculation and interpretation of classical and positional parameters characterizing the empirical distribution of features in the statistical population. Comprehensive analysis of the structure.8
T-L-4Test: analysis of the structure.2
T-L-5Determination and interpretation of the relationship strength measures for qualitative characteristics, strength and direction of the relationship for quantitative characteristics, parameters of the linear regression function.6
T-L-6Determination and interpretation of increments and individual indicators.3
T-L-7Mechanical and analytical trend determination. Determination and interpretation of absolute and relative measures characterizing seasonal fluctuations.4
T-L-8Test: analysis of interdependence and dynamics2
30

Treści programowe - wykłady

KODTreść programowaGodziny
T-W-1Subject of statistical research. Basic concepts (collectivity and statistical unit, statistical feature). Statistical research (stages, methods, statistical material and methods of its collection).7
T-W-2Analysis of the structure of mass processes (empirical distribution and types of distributions, distribution parameters: classic and positional, absolute and relative, parameters of central tendency, measures of differentiation, measures of asymmetry, measures of flattening, concentration measurement).10
T-W-3Analysis of the interdependence of mass processes (correlation and regression of quantitative characteristics, correlation of qualitative characteristics).8
T-W-4STATISTICA in the analysis of the structure and interdependence of mass phenomena2
T-W-5Analysis of time series (methods of testing short-term changes, decomposition of time series).8
35

Formy aktywności - laboratoria

KODForma aktywnościGodziny
A-L-1Preparation for classes.5
A-L-2Studying the literature.5
A-L-3Homework (individual and group).5
A-L-4Preparation for tests.5
A-L-5Participation in laboratory classes.30
50
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta

Formy aktywności - wykłady

KODForma aktywnościGodziny
A-W-1Preparation to exam.26
A-W-2Studying the literature.12
A-W-3Participation in lectures.35
A-W-4Participation in the exam.2
75
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięEc_1A_B06_W01The student has knowledge of the subject of research and basic concepts of descriptive statistics and stages of statistical research, methods of obtaining and presenting statistical data and statistical methods of regularity testing in terms of structure, interdependence and dynamics of socio-economic phenomena.
Odniesienie do efektów kształcenia dla kierunku studiówEc_1A_W01He / she knows and understands at an advanced level economic and social facts and phenomena as well as theories explaining the complex relationships between them constituting the basic general knowledge in the discipline of economics and finance, as well as selected issues in the field of detailed knowledge
Ec_1A_W03He / she knows and understands the research methodology in the field of economics and finance at an advanced level
Ec_1A_W06He / she knows and understands at an advanced level issues in the field of quantitative methods (including mathematics, statistics, econometrics and theory of decision-making), as well as methods and tools (including IT) for obtaining, processing and presenting data on socio-economic phenomena and processes
Cel przedmiotuC-1Obtaining basic knowledge about: methods of obtaining and presenting statistical data; statistical methods to study regularity in the structure, interdependence and dynamics of socio-economic phenomena.
C-3Preparation for: active participation in the team, formulation of the research problem, selection of the appropriate methodology and implementation, development and interpretation of the test results.
Treści programoweT-W-3Analysis of the interdependence of mass processes (correlation and regression of quantitative characteristics, correlation of qualitative characteristics).
T-W-5Analysis of time series (methods of testing short-term changes, decomposition of time series).
T-W-1Subject of statistical research. Basic concepts (collectivity and statistical unit, statistical feature). Statistical research (stages, methods, statistical material and methods of its collection).
T-W-2Analysis of the structure of mass processes (empirical distribution and types of distributions, distribution parameters: classic and positional, absolute and relative, parameters of central tendency, measures of differentiation, measures of asymmetry, measures of flattening, concentration measurement).
T-L-1Presentation of statistical material - construction of statistical series and tables, drawing up statistical charts based on raw statistical material.
T-L-3Calculation and interpretation of classical and positional parameters characterizing the empirical distribution of features in the statistical population. Comprehensive analysis of the structure.
T-L-5Determination and interpretation of the relationship strength measures for qualitative characteristics, strength and direction of the relationship for quantitative characteristics, parameters of the linear regression function.
T-L-7Mechanical and analytical trend determination. Determination and interpretation of absolute and relative measures characterizing seasonal fluctuations.
T-L-4Test: analysis of the structure.
T-L-2Test: basic concepts and stages of statistical research.
T-L-6Determination and interpretation of increments and individual indicators.
T-L-8Test: analysis of interdependence and dynamics
Metody nauczaniaM-1Information-problem lecture using multimedia techniques.
M-2Laboratory exercises using a computer and a didactic discussion related to the lecture.
Sposób ocenyS-3Ocena formująca: Tests used to assess students' periodic achievements - an independent solution to problem tasks using a spreadsheet and statistical packages.
S-1Ocena podsumowująca: Exam in a written form (test) containing theoretical issues and tasks for self-solution.
S-4Ocena podsumowująca: Completion of laboratory exercises based on test grades and activity in class.
S-2Ocena formująca: Checking the results of teamwork to identify gaps in the student's knowledge and skills.
Kryteria ocenyOcenaKryterium oceny
2,0The student does not know the subject of research and basic concepts of descriptive statistics, does not know how to obtain and present statistical material, and can not indicate methods for studying regularities in the field of structure, interdependence and dynamics of socio-economic phenomena.
3,0The student knows some of the basic concepts of descriptive statistics, knows (with the teacher's help) how to obtain and present statistical material and is able to indicate some methods of studying regularities in the structure, interdependence and dynamics of socio-economic phenomena.
3,5The student knows most of the basic concepts of descriptive statistics, knows (with the teacher's help) how to obtain and present statistical material and can indicate a few methods for studying regularities in the structure, interdependence and dynamics of socio-economic phenomena.
4,0The student can independently enumerate and define all the basic notions of descriptive statistics, knows the subject of the research and how to obtain and present statistical material, as well as independently select appropriate methods for studying regularities in the structure, interdependence and dynamics of socio-economic phenomena.
4,5The student is able to name and define all the basic notions of descriptive statistics, knows the subject of the research and the ways of obtaining and presenting statistical data, and knows how to select adequate methods to investigate the regularities of the structure, interdependence and dynamics of socio-economic phenomena and justify their choice.
5,0The student knows the subject of research and all the required concepts of descriptive statistics, knows stages of statistical research, the ways of obtaining and presenting statistical data and is able to independently recognize the studied statistical regularity, independently propose appropriate statistical methods for studying regularities in the field of structure, interdependence and dynamics of socio-economic phenomena.
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięEc_1A_B06_W02The student knows popular statistical packages and knows how to use statistical knowledge to solve tasks on socio-economic issues.
Odniesienie do efektów kształcenia dla kierunku studiówEc_1A_W01He / she knows and understands at an advanced level economic and social facts and phenomena as well as theories explaining the complex relationships between them constituting the basic general knowledge in the discipline of economics and finance, as well as selected issues in the field of detailed knowledge
Ec_1A_W03He / she knows and understands the research methodology in the field of economics and finance at an advanced level
Ec_1A_W06He / she knows and understands at an advanced level issues in the field of quantitative methods (including mathematics, statistics, econometrics and theory of decision-making), as well as methods and tools (including IT) for obtaining, processing and presenting data on socio-economic phenomena and processes
Cel przedmiotuC-2Gaining practical skills in the application of statistical methods using popular statistical packages and a spreadsheet.
C-3Preparation for: active participation in the team, formulation of the research problem, selection of the appropriate methodology and implementation, development and interpretation of the test results.
Treści programoweT-W-4STATISTICA in the analysis of the structure and interdependence of mass phenomena
T-L-1Presentation of statistical material - construction of statistical series and tables, drawing up statistical charts based on raw statistical material.
T-L-3Calculation and interpretation of classical and positional parameters characterizing the empirical distribution of features in the statistical population. Comprehensive analysis of the structure.
T-L-5Determination and interpretation of the relationship strength measures for qualitative characteristics, strength and direction of the relationship for quantitative characteristics, parameters of the linear regression function.
T-L-7Mechanical and analytical trend determination. Determination and interpretation of absolute and relative measures characterizing seasonal fluctuations.
T-L-4Test: analysis of the structure.
T-L-2Test: basic concepts and stages of statistical research.
T-L-6Determination and interpretation of increments and individual indicators.
T-L-8Test: analysis of interdependence and dynamics
Metody nauczaniaM-1Information-problem lecture using multimedia techniques.
M-2Laboratory exercises using a computer and a didactic discussion related to the lecture.
Sposób ocenyS-3Ocena formująca: Tests used to assess students' periodic achievements - an independent solution to problem tasks using a spreadsheet and statistical packages.
S-2Ocena formująca: Checking the results of teamwork to identify gaps in the student's knowledge and skills.
Kryteria ocenyOcenaKryterium oceny
2,0The student does not know statistical packages and does not know how to use the possessed statistical knowledge to solving tasks of socio-economic problems.
3,0The student knows several modules of statistical packages and knows (with the teacher's help) how to use statistical knowledge to solve tasks on socio-economic issues.
3,5The student knows all the modules of the known statistical packages and knows (with the teacher's help) how to use the knowledge of statistics to solve (indicated by the teacher) tasks of socio-economic socio-economic problems.
4,0The student knows all the modules of the known statistical packages and knows how to use the knowledge possessed to solve (indicated by the teacher) tasks of socio-economic problems.
4,5The student knows all modules of known statistical packages and knows how to use their statistical knowledge to solve independently proposed tasks on socio-economic issues.
5,0The student is able to independently propose the use of appropriate statistical tools, knows how to assess their usefulness for studying regularities in the structure, interdependence and dynamics of socio-economic phenomena.The student knows how to use all the modules of known statistical packages.
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięEc_1A_B06_U01The student can organize a statistical survey, collect, present and analyze statistical material.
Odniesienie do efektów kształcenia dla kierunku studiówEc_1A_U01He / she can use knowledge to identify and interpret socio-economic processes and phenomena with the use of methods and tools appropriate for economics
Ec_1A_U02He / she can apply knowledge to formulate and solve complex and unusual problems concerning socio-economic processes and phenomena in the micro-, meso- and macro-scale
Ec_1A_U04He / she is able to select and apply appropriate methods and tools, including advanced information and communication techniques for analysing and forecasting economic processes and phenomena and solving economic problems
Cel przedmiotuC-2Gaining practical skills in the application of statistical methods using popular statistical packages and a spreadsheet.
C-3Preparation for: active participation in the team, formulation of the research problem, selection of the appropriate methodology and implementation, development and interpretation of the test results.
Treści programoweT-W-3Analysis of the interdependence of mass processes (correlation and regression of quantitative characteristics, correlation of qualitative characteristics).
T-W-5Analysis of time series (methods of testing short-term changes, decomposition of time series).
T-W-1Subject of statistical research. Basic concepts (collectivity and statistical unit, statistical feature). Statistical research (stages, methods, statistical material and methods of its collection).
T-W-2Analysis of the structure of mass processes (empirical distribution and types of distributions, distribution parameters: classic and positional, absolute and relative, parameters of central tendency, measures of differentiation, measures of asymmetry, measures of flattening, concentration measurement).
T-L-1Presentation of statistical material - construction of statistical series and tables, drawing up statistical charts based on raw statistical material.
T-L-2Test: basic concepts and stages of statistical research.
Metody nauczaniaM-1Information-problem lecture using multimedia techniques.
M-2Laboratory exercises using a computer and a didactic discussion related to the lecture.
Sposób ocenyS-3Ocena formująca: Tests used to assess students' periodic achievements - an independent solution to problem tasks using a spreadsheet and statistical packages.
S-1Ocena podsumowująca: Exam in a written form (test) containing theoretical issues and tasks for self-solution.
S-4Ocena podsumowująca: Completion of laboratory exercises based on test grades and activity in class.
S-2Ocena formująca: Checking the results of teamwork to identify gaps in the student's knowledge and skills.
Kryteria ocenyOcenaKryterium oceny
2,0The student can not organize a statistical survey, collect, present and analyze the statistical material.
3,0The student can organize some stages of statistical research and (with the teacher's help) to collect, present and analyze statistical material
3,5Students can organize most of the stages of statistical research and in cooperation with the teacher: collect, present and analyze the statistical material.
4,0The student is able to organize a statistical survey by himself, however, presenting and analyzing the collected statistical material is done in cooperation with the teacher.
4,5The student is able to independently organize a statistical survey, collect, present and analyze statistical material and use the known statistical packages.
5,0The student is able to organize a statistical survey, acquire and present statistical material appropriate to the statistical regularity under examination, make a comprehensive comparative analysis and use the known statistical packages.
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięEc_1A_B06_U02Student is able to apply appropriate statistical methods and tools and interpret the results of conducted research, as well as refer them to business practice.
Odniesienie do efektów kształcenia dla kierunku studiówEc_1A_U01He / she can use knowledge to identify and interpret socio-economic processes and phenomena with the use of methods and tools appropriate for economics
Ec_1A_U02He / she can apply knowledge to formulate and solve complex and unusual problems concerning socio-economic processes and phenomena in the micro-, meso- and macro-scale
Ec_1A_U04He / she is able to select and apply appropriate methods and tools, including advanced information and communication techniques for analysing and forecasting economic processes and phenomena and solving economic problems
Cel przedmiotuC-1Obtaining basic knowledge about: methods of obtaining and presenting statistical data; statistical methods to study regularity in the structure, interdependence and dynamics of socio-economic phenomena.
C-2Gaining practical skills in the application of statistical methods using popular statistical packages and a spreadsheet.
C-3Preparation for: active participation in the team, formulation of the research problem, selection of the appropriate methodology and implementation, development and interpretation of the test results.
Treści programoweT-W-3Analysis of the interdependence of mass processes (correlation and regression of quantitative characteristics, correlation of qualitative characteristics).
T-W-5Analysis of time series (methods of testing short-term changes, decomposition of time series).
T-W-1Subject of statistical research. Basic concepts (collectivity and statistical unit, statistical feature). Statistical research (stages, methods, statistical material and methods of its collection).
T-W-2Analysis of the structure of mass processes (empirical distribution and types of distributions, distribution parameters: classic and positional, absolute and relative, parameters of central tendency, measures of differentiation, measures of asymmetry, measures of flattening, concentration measurement).
T-L-3Calculation and interpretation of classical and positional parameters characterizing the empirical distribution of features in the statistical population. Comprehensive analysis of the structure.
T-L-5Determination and interpretation of the relationship strength measures for qualitative characteristics, strength and direction of the relationship for quantitative characteristics, parameters of the linear regression function.
T-L-7Mechanical and analytical trend determination. Determination and interpretation of absolute and relative measures characterizing seasonal fluctuations.
T-L-4Test: analysis of the structure.
T-L-6Determination and interpretation of increments and individual indicators.
T-L-8Test: analysis of interdependence and dynamics
Metody nauczaniaM-1Information-problem lecture using multimedia techniques.
M-2Laboratory exercises using a computer and a didactic discussion related to the lecture.
Sposób ocenyS-3Ocena formująca: Tests used to assess students' periodic achievements - an independent solution to problem tasks using a spreadsheet and statistical packages.
S-1Ocena podsumowująca: Exam in a written form (test) containing theoretical issues and tasks for self-solution.
S-4Ocena podsumowująca: Completion of laboratory exercises based on test grades and activity in class.
S-2Ocena formująca: Checking the results of teamwork to identify gaps in the student's knowledge and skills.
Kryteria ocenyOcenaKryterium oceny
2,0The student can not apply appropriate methods and statistical tools and conduct statistical research.
3,0The student is able to apply some (indicated by the teacher) methods and statistical tools and interpret (with the teacher's help) the results of the survey.
3,5The student is able to apply the indicated (by the teacher) methods and statistical tools and interpret (with the teacher's help) the results of conducted research and tries to relate them to the economic practice.
4,0The student is able to independently apply the methods and statistical tools and interpret the results of the research and apply them to economic practice.
4,5The student is able to apply the methods and statistical tools, interpret the results of the tests conducted and relate them to economic practice. The student is able to make the necessary calculations by using the known statistical packages together with the appropriate visualization.
5,0The student can apply all the methods and statistical tools known in the course, can assess their usefulness in studying regularities in the structure, interdependence and dynamics of socio-economic phenomena and justify their choice, to interpret the obtained results and to make the necessary calculations on their own, using the known statistical packages together with the appropriate visualization.
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięEc_1A_B06_K01The student is ready to solve problems related to the selection of methods and tools used in descriptive statistics.
Odniesienie do efektów kształcenia dla kierunku studiówEc_1A_K01He / she is ready to critically assess the possessed knowledge, skills and received content, to recognise the importance of knowledge in solving cognitive and practical problems, and is aware of the need to consult experts in case of difficulties with solving the problem on his / her own
Cel przedmiotuC-1Obtaining basic knowledge about: methods of obtaining and presenting statistical data; statistical methods to study regularity in the structure, interdependence and dynamics of socio-economic phenomena.
C-2Gaining practical skills in the application of statistical methods using popular statistical packages and a spreadsheet.
C-3Preparation for: active participation in the team, formulation of the research problem, selection of the appropriate methodology and implementation, development and interpretation of the test results.
Treści programoweT-W-3Analysis of the interdependence of mass processes (correlation and regression of quantitative characteristics, correlation of qualitative characteristics).
T-W-5Analysis of time series (methods of testing short-term changes, decomposition of time series).
T-W-1Subject of statistical research. Basic concepts (collectivity and statistical unit, statistical feature). Statistical research (stages, methods, statistical material and methods of its collection).
T-W-2Analysis of the structure of mass processes (empirical distribution and types of distributions, distribution parameters: classic and positional, absolute and relative, parameters of central tendency, measures of differentiation, measures of asymmetry, measures of flattening, concentration measurement).
T-L-1Presentation of statistical material - construction of statistical series and tables, drawing up statistical charts based on raw statistical material.
T-L-3Calculation and interpretation of classical and positional parameters characterizing the empirical distribution of features in the statistical population. Comprehensive analysis of the structure.
T-L-5Determination and interpretation of the relationship strength measures for qualitative characteristics, strength and direction of the relationship for quantitative characteristics, parameters of the linear regression function.
T-L-7Mechanical and analytical trend determination. Determination and interpretation of absolute and relative measures characterizing seasonal fluctuations.
T-L-4Test: analysis of the structure.
T-L-2Test: basic concepts and stages of statistical research.
T-L-6Determination and interpretation of increments and individual indicators.
T-L-8Test: analysis of interdependence and dynamics
Metody nauczaniaM-1Information-problem lecture using multimedia techniques.
M-2Laboratory exercises using a computer and a didactic discussion related to the lecture.
Sposób ocenyS-3Ocena formująca: Tests used to assess students' periodic achievements - an independent solution to problem tasks using a spreadsheet and statistical packages.
S-1Ocena podsumowująca: Exam in a written form (test) containing theoretical issues and tasks for self-solution.
S-4Ocena podsumowująca: Completion of laboratory exercises based on test grades and activity in class.
S-2Ocena formująca: Checking the results of teamwork to identify gaps in the student's knowledge and skills.
Kryteria ocenyOcenaKryterium oceny
2,0The student is not ready to solve problems related to the choice of methods and tools used in descriptive statistics
3,0The student is ready to solve problems related to the selection of methods and tools used in descriptive statistics at a sufficient level
3,5The student is ready to solve problems related to the selection of methods and tools used in descriptive statistics at a more than sufficient level
4,0The student is ready to solve problems related to the selection of methods and tools used in descriptive statistics at a good level
4,5The student is ready to solve problems related to the selection of methods and tools used in descriptive statistics at a more than good level
5,0The student is ready to solve problems related to the selection of methods and tools used in descriptive statistics at a very good level