Final answer:
Leptokurtic distributions are most likely to indicate the presence of outliers due to their higher peaks and fatter tails. When analyzing box plots, the one with the longest whisker, such as that of the black sports car, suggests the likelihood of outliers.
Step-by-step explanation:
The type of kurtosis that is most likely to indicate the strong presence of outliers is Leptokurtic. Leptokurtic distributions have a higher peak and fatter tails, suggesting that the data contains extreme values. In comparison, Mesokurtic distributions follow a normal distribution shape, with a medium-level peak, while Platykurtic distributions have a lower peak and thinner tails, indicating fewer extreme values or outliers.
When comparing three box plots to determine which group is most likely to have an outlier, one should look for the plot with the longest whisker, indicating a wider range of data. In this case, the black sports car is most likely to have an outlier as it has the longest whisker. The comparison also suggests that the median ages of buyers differ, with younger people tending to buy the black sports car and older individuals preferring the white sports car, although there is considerable variability across all datasets.