If a boxplot shows lots of outliers at one end of the distribution, but none at the other end, what would be the interpretation?
a) The end of the distribution where there are no outliers must have mistakes
b) This is clearly a biased distribution
c) This is a skewed distribution (with a tail at one end where there are lots of outliers)
d) This is likely to be a normal distribution