Sagot :
Answer:
- Insufficient domain expertise.
- Inference are off base
- Statistical significance trumps thinking.
- Corelation is mistaken for causation.
- Important variables are omitted.
Answer:
Important Variables Are Omitted
And when data is misinterpreted, it leads to faulty conclusions and sometimes unwise investments. "This is the 'minefield' of using data," said StorageMart chief marketing officer Tron Jordheim in an interview.