Uniwersytet Opolski - Centralny System Uwierzytelniania
Strona główna

Statistics

Informacje ogólne

Kod przedmiotu: 4.17.E.114
Kod Erasmus / ISCED: (brak danych) / (brak danych)
Nazwa przedmiotu: Statistics
Jednostka: Instytut Ekonomii i Finansów
Grupy: Ekonomia stacjonarne licencjat - specj. International Business
Harmonogram I roku Ekonomii IB- studia stacjonarne I' sem. Letni
Harmonogram I roku Ekonomii IB- studia stacjonarne I' semestr letni
Katalog przedmiotów dla studiów krótkoterminowych (Erasmus+ lub inne umowy o współpracy)
Punkty ECTS i inne: 6.00 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.
Język prowadzenia: angielski
Wymagania:

Maths in Economics

Literatura uzupełniająca:

Hogg R. V. and Tanis E. A. (2010). Probability and Statistical Inference, 8th edt., Prentice Hall.

Johnston A. R. and Bhattacharyya G. K., (2005). Statistics. Principles and Methods. 5th edition, Wiley, 1996.

Skrócony opis:

Familiarizing students with basic statistical concepts and methods of examining regularities occurring in mass processes, shaping students practical skills in using the Excel spreadsheet and the STATISTICA program to process statistical data and interpreting the obtained results, shaping students' creativity in obtaining statistical data from internet sources for the purposes of conducting innovative socio-economic analyzes

Pełny opis:

1. Statistics as a science. Basic concepts of descriptive statistics.

Data presentation methods. Introduction to statistical research.

Statistical packages and their use.

2. Basic parameters of statistical description (measures of position, differentiation, asymmetry and flattening). Measurement of phenomenon concentration and comparison of phenomena structures.

3. Study of the interdependence of two features. Basic parameters of the description of the correlation between the features. Classical linear regression model.

4. Chronological average. Individual and aggregate indexes of dynamics. Time series and its components. Time series smoothing (moving averages, exponential smoothing). Periodic fluctuation analysis (periodic fluctuation indicators for the time series without and with trend, multiplicative and additive fluctuations). Development tendency of the phenomenon - trends and their types. Linear trend analysis.

5. Random variable (discrete and continuous) and its distribution. Parameters of the distribution of a random variable.

5. Random variable (discrete and continuous) and its distribution. Parameters of the distribution of a random variable. Probability distributions. Examples of probability distributions of a random variable (binomial, Poisson, normal, chisquare, Student's t).

6. Estimation, estimator. Point and interval estimation.

Confidence interval for the mean, variance and standard deviation, and the structure index. Determining the minimum size of a random sample.

7. Verification of statistical hypotheses. Hypothesis testing

Literatura:

Statistics for business and economics, Mc Clave, Sincich, Benson, Pearson Education, 2014

Basic business statistics : concepts and applications, Berenson, Levine, Szabat, Pearson 2015

Fundamentals of descriptive statistics , Z C Holcomb, 2016, Routledge

Fundamentals of Statistics, Vol. I & II, . Goon A.M., Gupta M.K. and Dasgupta B., 2002, The World Press, Kolkata

Mood, A.M. Graybill, F.A. and Boes, D.C. (2007): Introduction to the Theory of

Statistics, 3rd Edn., (Reprint), Tata McGraw-Hill Pub. Co.Ltd.

Mukhopadhyay, P. (1999): Applied Statistics, New Central Book Agency

Zajęcia w cyklu "Semestr letni 2024/2025" (w trakcie)

Okres: 2025-03-01 - 2025-09-30
Wybrany podział planu:
Przejdź do planu
Typ zajęć:
Laboratorium, 30 godzin więcej informacji
Wykład, 30 godzin więcej informacji
Koordynatorzy: Włodzimierz Godłowski, Agnieszka Tłuczak
Prowadzący grup: Włodzimierz Godłowski, Agnieszka Tłuczak
Lista studentów: (nie masz dostępu)
Zaliczenie: Przedmiot - Egzamin
Laboratorium - Zaliczenie na ocenę
Wykład - Egzamin
Skrócony opis:

Familiarizing students with basic statistical concepts and methods of examining regularities occurring in mass processes, shaping students practical skills in using the Excel spreadsheet and the STATISTICA program to process statistical data and interpreting the obtained results, shaping students' creativity in obtaining statistical data from internet sources for the purposes of conducting innovative socio-economic analyzes

Pełny opis:

1. Statistics as a science. Basic concepts of descriptive statistics.

Data presentation methods. Introduction to statistical research.

Statistical packages and their use.

2. Basic parameters of statistical description (measures of position, differentiation, asymmetry and flattening). Measurement of phenomenon concentration and comparison of phenomena structures.

3. Study of the interdependence of two features. Basic parameters of the description of the correlation between the features. Classical linear regression model.

4. Chronological average. Individual and aggregate indexes of dynamics. Time series and its components. Time series smoothing (moving averages, exponential smoothing). Periodic fluctuation analysis (periodic fluctuation indicators for the time series without and with trend, multiplicative and additive fluctuations). Development tendency of the phenomenon - trends and their types. Linear trend analysis.

5. Random variable (discrete and continuous) and its distribution. Parameters of the distribution of a random variable.

5. Random variable (discrete and continuous) and its distribution. Parameters of the distribution of a random variable. Probability distributions. Examples of probability distributions of a random variable (binomial, Poisson, normal, chisquare, Student's t).

6. Estimation, estimator. Point and interval estimation.

Confidence interval for the mean, variance and standard deviation, and the structure index. Determining the minimum size of a random sample.

7. Verification of statistical hypotheses. Hypothesis testing

Literatura:

Statistics for business and economics, Mc Clave, Sincich, Benson, Pearson Education, 2014

Basic business statistics : concepts and applications, Berenson, Levine, Szabat, Pearson 2015

Fundamentals of descriptive statistics , Z C Holcomb, 2016, Routledge

Fundamentals of Statistics, Vol. I & II, . Goon A.M., Gupta M.K. and Dasgupta B., 2002, The World Press, Kolkata

Mood, A.M. Graybill, F.A. and Boes, D.C. (2007): Introduction to the Theory of

Statistics, 3rd Edn., (Reprint), Tata McGraw-Hill Pub. Co.Ltd.

Mukhopadhyay, P. (1999): Applied Statistics, New Central Book Agency

Opisy przedmiotów w USOS i USOSweb są chronione prawem autorskim.
Właścicielem praw autorskich jest Uniwersytet Opolski.
pl. Kopernika 11a, 45-040 Opole https://uni.opole.pl kontakt deklaracja dostępności mapa serwisu USOSweb 7.1.2.0-www6-2 (2025-04-29)