Principal Component Analysis explained with examples and defining the prerequisites.
Definition of population and sample with examples, advantages of sampling and sampling methods.
Correlation and causality: explain differences using examples, prove correlation coefficient and causality.
Normal distribution with definition, calculation example and the distinction between density function and distribution function.
Expected Value explained with examples and difference to arithmetic mean shown.