Experiments with faulty design or inconsistent data:
-decreases the experiment's reliability and validity
- wastes time and resources
- destroys the scientist's credibility in their field
- may lead to issues of safety to the experimenter/s due to faulty design
- is discouraged especially in hard sciences where data obtained should be accurate and precise
Explanation:
There are many<span> reasons that experiments with faulty </span>styles<span> or with incorrect </span>knowledge are<span> problematic for scientists. One reason for them to be problematic </span>is that if<span> he or she were to poorly </span>live<span> what </span>they're learning<span>. </span>as an example<span>, </span>somebody<span> measured the mass of a book </span>properly<span> to be </span>two<span> pounds, and </span>somebody else<span> measured it </span>erroneously<span> to be </span>one<span> pound. </span>differently<span>, that faulty designed experiments and inconsistent </span>knowledge will be<span> problematic is lack of accuracy and </span><span>exactness.</span>
Answer:
the best one is to wash your hands. you can also not touch your face as much. this will help stop the spread of germs.
Answer:
Replicates can be used to measure variation in the experiment so that statistical tests can be applied to evaluate differences. Averaging across replicates increases the precision of gene expression measurements and allows smaller changes to be detected.
Explanation:
B is right
chufffggbbvggghhhhhhhhhhh