The question is somehow incomplete but the answer is it in
the inferential stage of probability-based inference. It is in
complex networks of codependent variables is an lively theme in statistical
research, encouraged by such varied presentations as predicting, pedigree examination
and troubleshooting.
Answer:
B I think
Step-by-step explanation:
Answer:
The median of a data set is better when you have a term or terms that are not close to the other terms
Step-by-step explanation:
For example:
Say you have the data set
1, 15, 17, 18, 22, 84
The median of these terms would be 17.5
(it is the exact center of the data group)
17 + 18 = 35
35/2 = 17.5
The mean of these terms would be 26.17
(this number is not close to the center because the numbers 1 and 84
are not close enough to the other terms)
1 + 15 + 17 + 18 + 22 + 84 = 157
157/6 = 26.17