Correlation or Causation: The most common errors made in data analysis

The research field is prone to errors with significant consequences on generalizing results and interpreting statistical relationships.The following are some of the most common: Assuming you have a representative sample: This error is common especially in large data sets (big data). The results may look convincing, but the sample does not represent a true picture…