Causality (and the difference to correlation) simply explained

Causality means that there is a clear cause-effect relationship between two variables. Thus, there is causality if action A causes outcome B. A common mistake in the interpretation of statistics is that causality is inferred when a correlation is present. However, a correlation only indicates whether there is a connection. ► Tutorial Causality https://numiqo.com/tutorial/causality ► E-BOOK https://numiqo.com/statistics-book ► Online calculator https://numiqo.com/statistics-calcula...