# Python | Scipy stats.halfgennorm.stats() method

• Last Updated : 06 Feb, 2020

With the help of `stats.halfgennorm.stats()` method, we can get the value of Mean(‘m’), variance(‘v’), skew(‘s’), and/or kurtosis(‘k’) by using `stats.halfgennorm.stats()` method.

Syntax : `stats.halfgennorm.stats(beta, moments)`
Return : Return the value of mean, variance, skew and kurtosis.

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Example #1 :
In this example we can see that by using `stats.halfgennorm.stats()` method, we are able to get the value of mean, variance, skew and kurtosis by using this method.

 `# import halfgennorm``from` `scipy.stats ``import` `halfgennorm``beta ``=` `5`` ` `# Using stats.halfgennorm.stats() method``M, V, S, K ``=` `halfgennorm.stats(beta, moments ``=``'mvsk'``)`` ` `print``(M, V, S, K)`

Output :

0.48317034577918083 0.09092954611981496 0.3281246839804034 -0.754155041309859

Example #2 :

 `# import halfgennorm``from` `scipy.stats ``import` `halfgennorm``beta ``=` `3`` ` `# Using stats.halfgennorm.stats() method``M, V, S, K ``=` `halfgennorm.stats(beta, moments ``=``'mvsk'``)`` ` `print``(M, V, S, K)`

Output :

0.5054680881515111 0.1177841857623046 0.6327758514663764 -0.1584840878576932

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