Statistics

DESCRIPTIVE STATISTICS

The basics of quantitative data arrangement and analysis

• Basic terms: statistics, population, sample, distributions
• Quantitative data arrangement and presentation.
• Relative figures: structures, coefficients, indexes.
• Mean value measurements: modus, median, arithmetic mean.
• Dispersion measurements: range, quartile range, average absolute deviation, variance and standard deviation.

Distributions

• Normal distribution: normed deviation, areas under the normal curve, applications
• Other theoretical distributions (t, F, Hi-square).

Correlation and regression:

• Association and dependence
• Functional and statistical relationship
• Association, correlation and regression: covariance, Pearson's coefficient of a linear correlation, Spearman's coefficient of a rank correlation., regression coefficient

INFERENTIAL STATISTICS:

Basics of inferential statistics

• Basic terms: sample, random variable, sample distribution, standard error
• Estimation of parameters
• Testing of hypotheses about differences between parameters.
• Non-parameter tests (chi-square test).

Brief description of more complex statistical methods (some possible exampels)

• Analysis of variance
• Multiple regression analysis
• Factor analysis
• Clustering