What does it mean if kurtosis is 0?
mesokurtic
When kurtosis is equal to 0, the distribution is mesokurtic. This means the kurtosis is the same as the normal distribution, it is mesokurtic (medium peak). The kurtosis of a mesokurtic distribution is neither high nor low, rather it is considered to be a baseline for the two other classifications.
Is a distribution with 0 excess kurtosis?
Mesokurtic Data that follows a mesokurtic distribution shows an excess kurtosis of zero or close to zero. This means that if the data follows a normal distribution, it follows a mesokurtic distribution.
What does it mean if skewness is 0?
The skewness value can be positive or negative, or even undefined. If skewness is 0, the data are perfectly symmetrical, although it is quite unlikely for real-world data. As a general rule of thumb: If skewness is less than -1 or greater than 1, the distribution is highly skewed.
What does a kurtosis less than 1 mean?
For kurtosis, the general guideline is that if the number is greater than +1, the distribution is too peaked. Likewise, a kurtosis of less than –1 indicates a distribution that is too flat.
How much kurtosis is acceptable?
The values for asymmetry and kurtosis between -2 and +2 are considered acceptable in order to prove normal univariate distribution (George & Mallery, 2010). Hair et al. (2010) and Bryne (2010) argued that data is considered to be normal if skewness is between ‐2 to +2 and kurtosis is between ‐7 to +7.
What kurtosis is acceptable?
A standard normal distribution has kurtosis of 3 and is recognized as mesokurtic. An increased kurtosis (>3) can be visualized as a thin “bell” with a high peak whereas a decreased kurtosis corresponds to a broadening of the peak and “thickening” of the tails. Kurtosis >3 is recognized as leptokurtic and <3.
Can kurtosis be negative?
The values of excess kurtosis can be either negative or positive. When the value of an excess kurtosis is negative, the distribution is called platykurtic. This kind of distribution has a tail that’s thinner than a normal distribution.
What is a normal kurtosis value?
Normal distribution kurtosis = 3. A distribution that is more peaked and has fatter tails than normal distribution has kurtosis value greater than 3 (the higher kurtosis, the more peaked and fatter tails).
What is a good kurtosis value?
How do you calculate kurtosis?
Click on Analyze -> Descriptive Statistics -> Descriptives
What does the kurtosis tell us?
Kurtosis tell us about the peakdness or flaterness of the distribution. Kurtosis is basically statistical measure that helps to identify the data around the mean.
Are the skewness and kurtosis useful statistics?
Whereas skewness measures symmetry in a distribution, kurtosis measures the “heaviness” of the tails or the “peakedness”. Kurtosis is useful in statistics for making inferences, for example, as to financial risks in an investment: The greater the kurtosis, the higher the probability of getting extreme values.
What does negative value of kurtosis mean?
Negative values of kurtosis indicate that a distribution is flat and has thin tails. Platykurtic distributions have negative kurtosis values. A platykurtic distribution is flatter (less peaked) when compared with the normal distribution, with fewer values in its shorter (i.e. lighter and thinner) tails.