is not affected by extreme values in a data
is a midpoint value in an array of data
is a balancing point in an observation
can be calculated from incomplete data
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Option C is wrong because it is dealing with an observation, but a distribution of observations. Option A and D are wrong because mean cannot be calculated from incomplete data except an assumption is made,and Mean is usually afected by extreme value, which can give exaggerated result. Option B is the correct answer because the midpoint value is the same as average from atray of data. It would have been the median but the data are no rearranged.
The correct answer is: C. is a balancing point in an observation
The mean (or average) is like the balancing queen 
of central tendency. It balances out all the values—if you imagine all your data points as weights on a seesaw, the mean is the exact spot where the seesaw balances perfectly.
Let’s break down the other options real quick:
A. Nope! The mean is affected by extreme values (outliers).
B. That’s describing the median, not the mean.
D. Uh-uh. You need complete data to accurately calculate the mean.
Please mean is affected by extreme value the correct option is C. Balancing pointing an observation
