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Statystyka opisowa - przedmiot prowadzony w języku angielskim

Informacje ogólne

Kod przedmiotu: 330-ES1-2STA#E
Kod Erasmus / ISCED: 14.301 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (brak danych)
Nazwa przedmiotu: Statystyka opisowa - przedmiot prowadzony w języku angielskim
Jednostka: Wydział Ekonomii i Finansów
Grupy: Erasmus semestr zimowy
Punkty ECTS i inne: 5.00 Podstawowe informacje o zasadach przyporządkowania punktów ECTS:
  • roczny wymiar godzinowy nakładu pracy studenta konieczny do osiągnięcia zakładanych efektów uczenia się dla danego etapu studiów wynosi 1500-1800 h, co odpowiada 60 ECTS;
  • tygodniowy wymiar godzinowy nakładu pracy studenta wynosi 45 h;
  • 1 punkt ECTS odpowiada 25-30 godzinom pracy studenta potrzebnej do osiągnięcia zakładanych efektów uczenia się;
  • tygodniowy nakład pracy studenta konieczny do osiągnięcia zakładanych efektów uczenia się pozwala uzyskać 1,5 ECTS;
  • nakład pracy potrzebny do zaliczenia przedmiotu, któremu przypisano 3 ECTS, stanowi 10% semestralnego obciążenia studenta.

zobacz reguły punktacji
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
Wybrany podział planu:
Przejdź do planu
Typ zajęć:
Ćwiczenia, 30 godzin więcej informacji
Wykład, 15 godzin więcej informacji
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
Wybrany podział planu:
Przejdź do planu
Typ zajęć:
Ćwiczenia, 30 godzin więcej informacji
Wykład, 15 godzin więcej informacji
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
Wybrany podział planu:
Przejdź do planu
Typ zajęć:
Ćwiczenia, 30 godzin więcej informacji
Wykład, 15 godzin więcej informacji
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

Opisy przedmiotów w USOS i USOSweb są chronione prawem autorskim.
Właścicielem praw autorskich jest Uniwersytet w Białymstoku.
ul. Świerkowa 20B, 15-328 Białystok tel: +48 85 745 70 00 (Centrala) https://uwb.edu.pl kontakt deklaracja dostępności USOSweb 7.0.2.0-1 (2024-03-12)