Final answer:
A long-tailed distribution, or heavy-tailed distribution, is a statistical distribution that has a higher probability in its tails and a lower probability near its mean. It is characterized by having more extreme values or outliers. Examples of long-tailed distributions include the exponential, log-normal, and extreme value distributions.
Step-by-step explanation:
A long-tailed distribution, also known as a heavy-tailed distribution, is a statistical distribution that has a higher probability in its tails and a lower probability near its mean. It means that the distribution has a greater number of extreme values or outliers compared to a normal distribution. Some examples of long-tailed distributions include the exponential distribution, log-normal distribution, and extreme value distribution