Step-by-step explanation:
A negatively skewed distribution means that the distribution curve doesn't fall evenly on both sides of the median, but stretches out further to the low end. If the values above the median are only slightly above the median, but those below it could be far below it, the average (mean) will be below the median. If the mean (average) is 68, then the median must be above it, or 72.
The median of the distribution with a mean of 64 will be 72.
mean is the average of a data set. Mean gives us the idea of that how much amount of overall data have.
In other words, the mean is the foundation of the deviation of data from all data sets.
Mean = sum of data / Number of data
For example, if you have marks in 5 subjects like 40,45,44,46,48 then the mean will be
( 40 + 45+ 44 + 46 + 48) /5 = 44.6.
A negatively skewed distribution means the distribution curve not going to fall the same on both sides of the median.
The distribution curve is going to be stretched further to the low end.
If the median value is slightly lower than the median then it will be so far below. If the mean (average) is 68, then the median must be above it hence 72 will be the correct answer.
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