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# Statistics

## What is the Standard Deviation?

Explanation of the standard deviation and the relationship to the variance.

## What is the Selection Bias?

Explanation of selection bias with examples.

## tSNE: t-distributed stochastic neighbor embedding

Explanation of tSNE including example in Python.

## Principal Component Analysis – easily explained!

Principal Component Analysis explained with examples and defining the prerequisites.

## Population and Sample – simply explained!

Definition of population and sample with examples, advantages of sampling and sampling methods.

## Correlation and Causation – easily explained!

Correlation and causality: explain differences using examples, prove correlation coefficient and causality.

## Normal Distribution

Normal distribution with definition, calculation example and the distinction between density function and distribution function.

## Expected Value – easily explained!

Expected Value explained with examples and difference to arithmetic mean shown.

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