What result does a negative value from the kurtosis function suggest about data distribution?

A negative value from the kurtosis function indicates that the data distribution is flat, which means it has lighter tails and a lower peak than the normal distribution. This type of distribution is called "platykurtic." In contrast to distributions with a positive kurtosis, which are peaked and have heavy tails (leptokurtic), a flat distribution shows less extreme values and a more uniform spread around the mean. This insight into the shape of the distribution can help analysts understand the behavior of the data, particularly in terms of risk and variability. While other options relate to different characteristics of distributions, they do not accurately describe the implications of a negative kurtosis value.