Quantitative Methods I

Course contents
  • Students will learn to
    - Categorize data by scale levels and determine and interpret statistical ratios;
    - To quantify random processes by probabilities;
    - Interpret terms used in market and opinion research;
    - Make decisions based on samples:
    1st half day: scales, descriptive statistics: frequency tables, graphical representations, measures of centrality and dispersion.
    2nd half day: stochastic models, urn model as paradigm of market and opinion research, basics of probability theory
    3rd half day: Discrete distributions, binomial distribution, simulation and visualization of multilevel random processes with EXCEL
    4th half day: Continuous distributions, normal distribution, z-transformation, interpretation of z-values
    5th half day: estimation theory, confidence interval for proportion values, ranges of variation and sample sizes in market and opinion research
    6th half day: test theory, hypothesis testing for proportion values, first and second type errors
    7th half day: chi-square independence test, chi-square goodness-of-fit test
    8th half day: case studies, revision test