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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.
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 negative kurtosis indicate?
A negative kurtosis means that your distribution is flatter than a normal curve with the same mean and standard deviation. The easiest way to visualise this is to plot a histogram with a fitted normal curve.
What if the kurtosis is negative?
A negative kurtosis means that your distribution is flatter than a normal curve with the same mean and standard deviation. This means your distribution is platykurtic or flatter as compared with normal distribution with the same M and SD. The curve would have very light tails. It is not unusual.
How do you calculate kurtosis?
Click on Analyze -> Descriptive Statistics -> Descriptives
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.
What is negative kurtosis?
A negative kurtosis means that your distribution is flatter than a normal curve with the same mean and standard deviation. The easiest way to visualise this is to plot a histogram with a fitted normal curve.
Can kurtosis be negative?
Kurtosis can be both positive or negative. Random variables that have a negative kurtosis are called subgaussian, and those with positive kurtosis are called supergaussian. In statistical literature, the corresponding expressions platykurtic and leptokurtic are also used.