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