What does leptokurtic mean?
Leptokurtic is an adjective used in statistics to describe a distribution that is more peaked than a normal distribution, with fatter tails. This means that the distribution has a higher peak and more extreme values than a normal distribution. The term is often used in contrast to platykurtic distributions, which are flatter and have fewer extreme values. Leptokurtic distributions are commonly found in financial data, such as stock prices, and can be used to model real-world phenomena. The concept of leptokurtic is important in statistics and data analysis, as it helps to understand the shape and behavior of distributions. In everyday language, leptokurtic is not commonly used, but it is an important term in technical and academic contexts.
adjectiveDescribing a distribution that is more peaked than a normal distribution, with fatter tails.
- Describing a distribution that is more peaked than a normal distribution, with fatter tails.
"The leptokurtic distribution of stock prices was a major concern for investors."
"The leptokurtic distribution of stock prices was a major concern for investors."
"The leptokurtic shape of the data suggested a non-normal distribution."
Reviewed by Deb Chak, Editor. AI-assisted content curated by RJS Tech Solutions LLP.
Etymology of leptokurtic
The word leptokurtic comes from the Greek words leptos (lept-) meaning 'thin' or 'slender', and kurtos (kurt-) meaning 'curt' or 'short'. The term was first used in the 19th century to describe distributions that were more peaked than a normal distribution. Over time, the term has been adopted in statistics and data analysis to describe a wide range of distributions.
How leptokurtic is actually used
In statistics, leptokurtic is used to describe distributions that are more peaked than a normal distribution, with fatter tails. It is often used in contrast to platykurtic distributions.