Statystyka opisowa - przedmiot prowadzony w języku angielskim
Informacje ogólne
Kod przedmiotu: | 330-ES1-2STA#E |
Kod Erasmus / ISCED: |
14.301
|
Nazwa przedmiotu: | Statystyka opisowa - przedmiot prowadzony w języku angielskim |
Jednostka: | Wydział Ekonomii i Finansów |
Grupy: |
Erasmus semestr zimowy |
Punkty ECTS i inne: |
5.00
|
Język prowadzenia: | angielski |
Rodzaj przedmiotu: | obowiązkowe |
Skrócony opis: |
(tylko po angielsku) The aim of the course is to educate creative and logical thinking, precise expression of thoughts, formulating problems and solving them with the use of statistical tools. Students learn important issues in descriptive statistics regarding the possibility of applying statistical methods to real data (obtaining, analyzing, presenting, interpreting statistical data, selecting appropriate statistical methods for the analysis of the studied process). The course will cover the following issues: distributions of the number and frequency of 1- and 2-dimensional variables as well as their classical, positional and mixed parameters; stochastic relationships and their measures; basics of time series analysis; measures of dynamics, including individual indexes. |
Pełny opis: |
(tylko po angielsku) Study profile: general academic Form of study: full-time Type of course: compulsory, basic Field and discipline of science: social sciences, economics and finance Year of study/semester: year II, semester 1 Prerequisites: knowledge of mathematical issues discussed in the first year of undergraduate studies Number of teaching hours: 15 hours. lectures, 30 hours of exercises Learning methods: Lecture with the use of multimedia presentations and engaging students to actively participate in discussions during the lecture. Classes - solving tasks, individual work, group discussion, working with a statistical program. ECTS points: 5 Student workload balance: participation in lectures - 15 hours; participation in classes - 30 hours; consultation - 6 hours; preparation for classes - 50 hours; preparation for lectures - 24 hours preparation for the exam and participation in the exam - 25 hours Quantitative indicators: Student workload related to classes: requiring direct participation of the teacher: 52 hours, 2 ECTS practical: 100 hours, 4 ECTS |
Literatura: |
(tylko po angielsku) Bibliography: 1. Frątczak Ewa , Statistics for management and economics, Wyd. Warsaw School of Economics, Warszawa 2015. 2. Lane David M. (ed.), Introduction to Statistics,Rice University, 2003. 3. Tebbs Joshua M., Introduction to Descriptive Statistics, University of South Carolina, 2006 4. Watkins , Watkins Joseph C., An Introduction to the Science of Statistics: From Theory to Implementation, Textbook, 2016 5. Zuhair A. Al-Hemyari, Introduction to Statistics, University of Nizva, 2018 |
Efekty uczenia się: |
(tylko po angielsku) 2STA_W01 Knows the methods of statistical description of one-dimensional empirical distribution (measures of central tendency, measures of variability, measures of asymmetry and concentration). E1_W06 2STA_W02 Knows the methods of describing the statistical relationship between two features (construction of a correlation table, measures of stochastic and correlation dependence). E1_W06 2STA_W03 Knows the methods of analyzing the development of the phenomenon over time (measures of dynamics). E1_W06 2STA_U01 Has the ability to choose an appropriate characteristic to describe a selected aspect of the empirical distribution of one feature, the relationship between features and dynamics, and is able to interpret the measures of descriptive statistics. E1_U02 2STA_U02 Has basic data acquisition skills in order to analyze, interpret and forecast specific social processes and phenomena. E1_U02 2STA_K01 Can independently expand the knowledge and skills of descriptive statistics. E1_K06 |
Metody i kryteria oceniania: |
(tylko po angielsku) The condition for passing the course is the achievement of the assumed learning outcomes. Candidates who have passed the exercises with a grade of at least 3.0 can take the exam. The exam is written and consists of test questions. The basis for passing the exam is obtaining at least 51% of the maximum number of points. Passing the exercises consists in obtaining at least 51% of the maximum number of points from each part (test and project). Points obtained for active participation in classes are also included in the grade. Grading scale: 0-50% of points - 2.0 51-60% of points - 3.0 61-70% of points - 3.5 71-80% of points - 4.0 81-90% of points - 4.5 91-100% of points - 5.0 |
Zajęcia w cyklu "Rok akademicki 2022/23" (zakończony)
Okres: | 2022-10-01 - 2023-06-30 |
Przejdź do planu
PN WT ŚR CZ PT |
Typ zajęć: |
Ćwiczenia, 30 godzin
Wykład, 15 godzin
|
|
Koordynatorzy: | (brak danych) | |
Prowadzący grup: | (brak danych) | |
Lista studentów: | (nie masz dostępu) | |
Zaliczenie: |
Przedmiot -
Egzamin
Ćwiczenia - Zaliczenie na ocenę |
|
Rodzaj przedmiotu: | obowiązkowe |
|
Skrócony opis: |
(tylko po angielsku) The aim of the course is to educate creative and logical thinking, precise expression of thoughts, formulating problems and solving them with the use of statistical tools. Students learn important issues in descriptive statistics regarding the possibility of applying statistical methods to real data (obtaining, analyzing, presenting, interpreting statistical data, selecting appropriate statistical methods for the analysis of the studied process). The course will cover the following issues: distributions of the number and frequency of 1- and 2-dimensional variables as well as their classical, positional and mixed parameters; stochastic relationships and their measures; basics of time series analysis; measures of dynamics, including individual and aggregate indexes. |
|
Pełny opis: |
(tylko po angielsku) Profile of studies: general academic Form of studies: full-time Type of course: compulsory, basic Field and discipline of science: social sciences, economics and finance Year of studies/semester: the year I, semester 2 Prerequisites: knowledge of mathematics issues discussed in the first year of first-cycle studies The number of teaching hours: 15 hours. lectures, 30 hours of exercise Teaching methods: Lecture with the use of multimedia presentations and engaging students to actively participate in discussions during the lecture. Classes - problem-solving, statistical analysis, group discussion, independent work, work with a statistical program. ECTS credits: 5 Balance of student workload: participation in lectures - 15 h; participation in classes - 30 h; consultation - 6 h; preparation for classes - 50 h; preparation for lectures - 24 hours preparation for the exam and participation in the exam - 25 hours Quantitative indicators: Student workload related to the classes: requiring the direct participation of the teacher: 52 hours, 2 ECTS of a practical nature: 100 hours, 4 ECTS |
|
Literatura: |
(tylko po angielsku) Bibliography: 1. Frątczak Ewa , Statistics for management and economics, Wyd. Warsaw School of Economics, Warszawa 2015. 2. Lane David M. (ed.), Introduction to Statistics,Rice University, 2003. 3. Tebbs Joshua M., Introduction to Descriptive Statistics, University of South Carolina, 2006 4. Watkins , Watkins Joseph C., An Introduction to the Science of Statistics: From Theory to Implementation, Textbook, 2016 5. Zuhair A. Al-Hemyari, Introduction to Statistics, University of Nizva, 2018 |
Zajęcia w cyklu "Rok akademicki 2023/24" (w trakcie)
Okres: | 2023-10-01 - 2024-06-30 |
Przejdź do planu
PN WT ŚR CZ WYK
CW
PT |
Typ zajęć: |
Ćwiczenia, 30 godzin
Wykład, 15 godzin
|
|
Koordynatorzy: | Elżbieta Misiewicz | |
Prowadzący grup: | Elżbieta Misiewicz | |
Lista studentów: | (nie masz dostępu) | |
Zaliczenie: |
Przedmiot -
Egzamin
Ćwiczenia - Zaliczenie na ocenę |
|
Rodzaj przedmiotu: | obowiązkowe |
|
Skrócony opis: |
(tylko po angielsku) The aim of the course is to educate creative and logical thinking, precise expression of thoughts, formulating problems and solving them with the use of statistical tools. Students learn important issues in descriptive statistics regarding the possibility of applying statistical methods to real data (obtaining, analyzing, presenting, interpreting statistical data, selecting appropriate statistical methods for the analysis of the studied process). The course will cover the following issues: distributions of the number and frequency of 1- and 2-dimensional variables as well as their classical, positional and mixed parameters; stochastic relationships and their measures; basics of time series analysis; measures of dynamics, including individual indexes. |
|
Pełny opis: |
(tylko po angielsku) Study profile: general academic Form of study: full-time Type of course: compulsory, basic Field and discipline of science: social sciences, economics and finance Year of study/semester: year II, semester 1 Prerequisites: knowledge of mathematical issues discussed in the first year of undergraduate studies Number of teaching hours: 15 hours. lectures, 30 hours of exercises Learning methods: Lecture with the use of multimedia presentations and engaging students to actively participate in discussions during the lecture. Classes - solving tasks, individual work, group discussion, working with a statistical program. ECTS points: 5 Student workload balance: participation in lectures - 15 hours; participation in classes - 30 hours; consultation - 6 hours; preparation for classes - 50 hours; preparation for lectures - 24 hours preparation for the exam and participation in the exam - 25 hours Quantitative indicators: Student workload related to classes: requiring direct participation of the teacher: 52 hours, 2 ECTS practical: 100 hours, 4 ECTS |
|
Literatura: |
(tylko po angielsku) Bibliography: 1. Frątczak Ewa , Statistics for management and economics, Wyd. Warsaw School of Economics, Warszawa 2015. 2. Lane David M. (ed.), Introduction to Statistics,Rice University, 2003. 3. Tebbs Joshua M., Introduction to Descriptive Statistics, University of South Carolina, 2006 4. Watkins , Watkins Joseph C., An Introduction to the Science of Statistics: From Theory to Implementation, Textbook, 2016 5. Zuhair A. Al-Hemyari, Introduction to Statistics, University of Nizva, 2018 |
Zajęcia w cyklu "Rok akademicki 2024/25" (jeszcze nie rozpoczęty)
Okres: | 2024-10-01 - 2025-06-30 |
Przejdź do planu
PN WT ŚR CZ PT |
Typ zajęć: |
Ćwiczenia, 30 godzin
Wykład, 15 godzin
|
|
Koordynatorzy: | Elżbieta Misiewicz | |
Prowadzący grup: | (brak danych) | |
Lista studentów: | (nie masz dostępu) | |
Zaliczenie: |
Przedmiot -
Egzamin
Ćwiczenia - Zaliczenie na ocenę |
|
Rodzaj przedmiotu: | obowiązkowe |
|
Skrócony opis: |
(tylko po angielsku) The aim of the course is to educate creative and logical thinking, precise expression of thoughts, formulating problems and solving them with the use of statistical tools. Students learn important issues in descriptive statistics regarding the possibility of applying statistical methods to real data (obtaining, analyzing, presenting, interpreting statistical data, selecting appropriate statistical methods for the analysis of the studied process). The course will cover the following issues: distributions of the number and frequency of 1- and 2-dimensional variables as well as their classical, positional and mixed parameters; stochastic relationships and their measures; basics of time series analysis; measures of dynamics, including individual indexes. |
|
Pełny opis: |
(tylko po angielsku) Study profile: general academic Form of study: full-time Type of course: compulsory, basic Field and discipline of science: social sciences, economics and finance Year of study/semester: year II, semester 1 Prerequisites: knowledge of mathematical issues discussed in the first year of undergraduate studies Number of teaching hours: 15 hours. lectures, 30 hours of exercises Learning methods: Lecture with the use of multimedia presentations and engaging students to actively participate in discussions during the lecture. Classes - solving tasks, individual work, group discussion, working with a statistical program. ECTS points: 5 Student workload balance: participation in lectures - 15 hours; participation in classes - 30 hours; consultation - 6 hours; preparation for classes - 50 hours; preparation for lectures - 24 hours preparation for the exam and participation in the exam - 25 hours Quantitative indicators: Student workload related to classes: requiring direct participation of the teacher: 52 hours, 2 ECTS practical: 100 hours, 4 ECTS |
|
Literatura: |
(tylko po angielsku) Bibliography: 1. Frątczak Ewa , Statistics for management and economics, Wyd. Warsaw School of Economics, Warszawa 2015. 2. Lane David M. (ed.), Introduction to Statistics,Rice University, 2003. 3. Tebbs Joshua M., Introduction to Descriptive Statistics, University of South Carolina, 2006 4. Watkins , Watkins Joseph C., An Introduction to the Science of Statistics: From Theory to Implementation, Textbook, 2016 5. Zuhair A. Al-Hemyari, Introduction to Statistics, University of Nizva, 2018 |
Właścicielem praw autorskich jest Uniwersytet w Białymstoku.