Verified Answer :

meerkat18

Faulty designs of the experiment or inconsistent data are problems because the scientist will not be able to properly conclude something out of them. Before the scientist will be able to use the data obtained, he will need to make data cleaning which will be time consuming.

Answer:

That is a significant problem because variables weren't controlled properly.

Explanation:

There're several reason to this:

  1. Strange variable alter results.
  2. The final hypothesis analysis doesn't have any scientific effect.
  3. Faulty design is big problem, because scientist didn't reproduce the experiment with the correct treat of variables.
  4. Inconsistent data could even incur in data manipulation, which basically is lying to academic public.
  5. Finally, the main problem is that they need to reproduce the experiment again, implementing another design and being more careful with data treatments.

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