Answer:
That is a significant problem because variables weren't controlled properly.
Step-by-step explanation:
There're several reason to this:
- Strange variable alter results.
- The final hypothesis analysis doesn't have any scientific effect.
- Faulty design is big problem, because scientist didn't reproduce the experiment with the correct treat of variables.
- Inconsistent data could even incur in data manipulation, which basically is lying to academic public.
- Finally, the main problem is that they need to reproduce the experiment again, implementing another design and being more careful with data treatments.