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
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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 |
Przejdź do planu
PN WT ŚR LAB
CZ WYK
PT |
Typ zajęć: |
Laboratorium, 30 godzin
Wykład, 30 godzin
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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 |
Właścicielem praw autorskich jest Uniwersytet Opolski.