What is the normal range for kurtosis?
Kurtosis can reach values from 1 to positive infinite. A distribution that is less peaked and has thinner tails than normal distribution has kurtosis value between 1 and 3.
What is the kurtosis of a uniform distribution?
The kurtosis of any univariate normal distribution is 3.
What is meant by kurtosis?
Kurtosis is a measure of the combined weight of a distribution’s tails relative to the center of the distribution. Kurtosis is sometimes confused with a measure of the peakedness of a distribution. However, kurtosis is a measure that describes the shape of a distribution’s tails in relation to its overall shape.
What is kurtosis value?
Kurtosis is a measure of the combined sizes of the two tails. The value is often compared to the kurtosis of the normal distribution, which is equal to 3. If the kurtosis is greater than 3, then the dataset has heavier tails than a normal distribution (more in the tails).
What is kurtosis explain?
What is kurtosis a measure of?
Kurtosis is a measure of whether the data are heavy-tailed or light-tailed relative to a normal distribution. That is, data sets with high kurtosis tend to have heavy tails, or outliers. Data sets with low kurtosis tend to have light tails, or lack of outliers. A uniform distribution would be the extreme case.
How do you calculate kurtosis?
Kurtosis = Fourth Moment / Second Moment2
- Kurtosis = 313209 / (365)2
- Kurtosis = 2.35.
How kurtosis is measured?
Kurtosis is a measure of the combined weight of a distribution’s tails relative to the center of the distribution. When a set of approximately normal data is graphed via a histogram, it shows a bell peak and most data within three standard deviations (plus or minus) of the mean.
What are the types of kurtosis?
There are three types of kurtosis: mesokurtic, leptokurtic, and platykurtic.