A mesokurtic distribution is a type of probability distribution that has a moderate level of peakedness. It is characterized by a kurtosis value of approximately 3, which indicates that the tails of the distribution are neither too heavy nor too light. This means that the data points are distributed in a way that is similar to a normal distribution, making it easier to analyze and interpret. In statistics, kurtosis is a measure that describes the shape of a distribution's tails in relation to its overall shape. A mesokurtic distribution serves as a benchmark for comparing other distributions, such as leptokurtic (more peaked) and platykurtic (flatter). Understanding these concepts helps in analyzing data and making informed decisions based on statistical analysis.