Python | Scipy stats.hypsecant.var() method Last Updated : 10 Feb, 2020 Summarize Comments Improve Suggest changes Share Like Article Like Report With the help of stats.hypsecant.var() method, we can get the value of variance of distribution by using stats.hypsecant.var() method. Syntax : stats.hypsecant.var(beta) Return : Return the value of variance of distribution. Example #1 : In this example we can see that by using stats.hypsecant.var() method, we are able to get the value of variance of distribution by using this method. Python3 1=1 # import hypsecant from scipy.stats import hypsecant beta = 10 # Using stats.hypsecant.var() method gfg = hypsecant.var(beta) print(gfg) Output : 2.4674011002723395 Example #2 : Python3 1=1 # import hypsecant from scipy.stats import hypsecant beta = 30 # Using stats.hypsecant.var() method gfg = hypsecant.var(beta) print(gfg) Output : 2.4674011002723395 Comment More infoAdvertise with us Next Article Python | Scipy stats.hypsecant.var() method J jitender_1998 Follow Improve Article Tags : Python Python-scipy Python scipy-stats-functions Practice Tags : python Similar Reads Python | Scipy stats.hypsecant.stats() method With the help of stats.hypsecant.stats() method, we can get the value of Mean(‘m’), variance(‘v’), skew(‘s’), and/or kurtosis(‘k’) by using stats.hypsecant.stats() method. Syntax : stats.hypsecant.stats(beta, moments) Return : Return the value of mean, variance, skew and kurtosis. Example #1 : In th 1 min read Python | Scipy stats.hypsecant.sf() method With the help of stats.hypsecant.sf() method, we can get the value of survival function which is 1 - cdf by using stats.hypsecant.sf() method. Syntax : stats.hypsecant.sf(x, beta) Return : Return the value of survival function. Example #1 : In this example we can see that by using stats.hypsecant.sf 1 min read Python | Scipy stats.hypsecant.fit() method With the help of stats.hypsecant.fit() method, we can get the parameter estimates for generic data by using stats.hypsecant.fit() method. Syntax : stats.hypsecant.fit(data) Return : Return the parameter estimates for generic data. Example #1 : In this example we can see that by using stats.hypsecant 1 min read Python | Scipy stats.hypsecant.rvs() method With the help of stats.hypsecant.rvs() method, we can generate the random variate from hyperbolic generalized normal distribution by using stats.hypsecant.rvs() method. Syntax : stats.hypsecant.rvs(beta) Return : Return the value of random variate. Example #1 : In this example we can see that by usi 1 min read Python | Scipy stats.hypsecant.pdf() method With the help of stats.hypsecant.pdf() method, we can get the value of probability density function by using stats.hypsecant.pdf() method. The probability density function for hypsecant is Syntax : stats.hypsecant.pdf(x, beta) Return : Return the value of probability density function. Example #1 : I 1 min read Like