MMEKKVBA Quantitative Methods A

Obchodně podnikatelská fakulta v Karviné
zima 2008
Rozsah
12/0/0. 4 kr. Ukončení: zk.
Vyučující
Mgr. Šárka Čemerková, Ph.D. (přednášející)
Mgr. Radmila Krkošková, Ph.D. (přednášející)
Ing. Elena Mielcová, Ph.D. (přednášející)
Ing. Radomír Perzina, Ph.D. (přednášející)
Ing. Filip Tošenovský, Ph.D. (přednášející)
Garance
prof. RNDr. Jaroslav Ramík, CSc.
Katedra informatiky a matematiky – Obchodně podnikatelská fakulta v Karviné
Omezení zápisu do předmětu
Předmět je otevřen studentům libovolného oboru.
Cíle předmětu
The course objective is to teach the students the principles of mathematical and economical statistics. The course acquaints students with the basic mathematical and statistical methods of data analysis with respect to real applications in economy. The course follows after the basic courses of calculus and information science. The student should acquire also appropriate calculation skills and should be able to solve statistical problems by Excel on PC. It leads to the creating of the essential profile of all students at the School of Business Administration. At the same time it is the base of the university education of further economic courses on the bachelor's as well as the master's study.
Osnova
  • 1. Statistics and its importance
    2. Descriptive statistics - quantitative and qualitative variables
    3. Elements of probability
    4. Random variable
    5. Discrete probability models
    6. Continuous probability models
    7. Point estimation
    8. Confidence intervals
    9. Hypotheses testing - parametric tests
    10. Hypotheses testing - non-parametric tests
    11. Analysis of variance - ANOVA
    12. Simple regression analysis
    1. Statistics and its importance
    Statistical methods in business and entrepreneurship, descriptive and inductive statistics, statistics in decision making.
    2. Descriptive statistics - quantitative and qualitative variables
    Qualitative and quantitative variables, frequency distribution, characteristics of central tendency, characteristics of variation, variance, standard deviation.
    3. Elements of probability
    Random event, combinatorics, intuitive definition of probability, probability as a relative frequency, properties of probability.
    4. Random variable
    Discrete and continuous random variable, characteristics of random variable, characteristics of central tendency and variation (mean, variance and standard deviation)
    5. Discrete probability models
    Probability function, distribution function, uniform distribution, binomial distribution, Poisson distribution, other well known discrete distributions.
    6. Continuous probability models
    Density function, uniform distribution, normal distribution, lognormal distribution, exponential distribution other discrete distributions.
    7. Point estimation
    Point estimation and its properties.
    8. Confidence intervals
    Interval estimation and its properties, confidence intervals for the mean, variance and ratio.
    9. Hypotheses testing - parametric tests
    Statistical testing, kinds of hypotheses, one-sided and two-sided tests, test for the mean value, and the variance.
    10. Hypotheses testing - non-parametric tests
    Chi-square distribution, chi-square tests of goodness of fit, test of independence in the contingence tables.
    11. Analysis of variance - ANOVA
    One-way ANOVA, Fisher's distribution F, F-test for the mean, two-way ANOVA.
    12. Simple regression analysis
    Regression linear model, least squares method, linear regression function, prediction in time series.
Literatura
    povinná literatura
  • DANIEL, W.W., TERREL, J.C. Business statistics. Houghton Mifflin Co., Boston, 1996. info
    doporučená literatura
  • VAN MATRE, J. G., GILDBREAD, G. H. Statistics for Business and Economics. Illinois, BPI/IRWIN, Homewood, 1987. info
  • BERENSON, M. L., LEVINE, M. D. Basic Business statistics, Concepts and Aplications Prentice Hall Internat. New Jersey: Ed, 1976. info
Vyučovací jazyk
Angličtina
Informace učitele
test, exam test
Další komentáře
Předmět je dovoleno ukončit i mimo zkouškové období.
Předmět je zařazen také v obdobích zima 2007, léto 2008, léto 2009, zima 2009, léto 2010, zima 2010, léto 2011, zima 2011, léto 2012, zima 2012, léto 2013, zima 2013, léto 2014.