Answer:
The distribution of the scores is left or negatively skewed.
Explanation:
A distribution is known as to be skewed to the right, or positively skewed, when maximum of the data are collected on the left of the distribution.
A distribution is said to be skewed to the left, or negatively skewed, if maximum of the data are collected on the right of the distribution.
A distribution is said to be symmetric when the data is distributed at regular frequencies, i.e. there is as many values on the left part of the graph as on the right.
In case of a positively skewed distribution the relationship between mean and median is:
Mean > Median
In case of a negatively skewed distribution the relationship between mean and median is:
Mean < Median
And in case of a symmetrical distribution the relationship between mean and median is:
Mean = Median
It is provided that the mean and median of the scores on the final exam are:
Mean = 71
Median = 73
So, it is obvious that:
Mean < Median
Hence, the distribution of the scores is left or negatively skewed.