Python | Scipy stats.hypsecant.interval() method Last Updated : 10 Feb, 2020 Comments Improve Suggest changes Like Article Like Report With the help of stats.hypsecant.interval() method, we can get the value of endpoints of the range that contains alpha percent of the distribution by using stats.hypsecant.interval() method. Syntax : stats.hypsecant.interval(alpha) Return : Return the value of endpoints of the distribution. Example #1 : In this example we can see that by using stats.hypsecant.interval() method, we are able to get the value of endpoints of the distribution by using this method. Python3 1=1 # import hypsecant from scipy.stats import hypsecant alpha = 0.1 # Using stats.hypsecant.interval() method gfg = hypsecant.interval(alpha) print(gfg) Output : (-0.15772961019105322, 0.15772961019105325) Example #2 : Python3 1=1 # import hypsecant from scipy.stats import hypsecant alpha = 1 # Using stats.hypsecant.interval() method gfg = hypsecant.interval(alpha) print(gfg) Output : (-inf, inf) Comment More infoAdvertise with us Next Article Python | Scipy stats.hypsecant.interval() method J jitender_1998 Follow Improve Article Tags : Python Python-scipy Python scipy-stats-functions Practice Tags : python Similar Reads Python | Scipy stats.hypsecant.mean() method With the help of stats.hypsecant.mean() method, we can get the value of mean of distribution by using stats.hypsecant.mean() method. Syntax : stats.hypsecant.mean(beta) Return : Return the value of mean of distribution. Example #1 : In this example we can see that by using stats.hypsecant.mean() met 1 min read Python | Scipy stats.hypsecant.isf() method With the help of stats.hypsecant.isf() method, we can get the value of inverse survival function which is inverse(1 - cdf) by using stats.hypsecant.isf() method. Syntax : stats.hypsecant.isf(x, beta) Return : Return the value of inverse survival function. Example #1 : In this example we can see that 1 min read Python | Scipy stats.hypsecant.median() method With the help of stats.hypsecant.median() method, we can get the value of median of distribution by using stats.hypsecant.median() method. Syntax : stats.hypsecant.median(beta) Return : Return the value of median of distribution. Example #1 : In this example we can see that by using stats.hypsecant. 1 min read Python | Scipy stats.hypsecant.logsf() method With the help of stats.hypsecant.logsf() method, we can get the log value of survival function which is log(1 - cdf) by using stats.hypsecant.logsf() method. Syntax : stats.hypsecant.logsf(x, beta) Return : Return the log value of survival function. Example #1 : In this example we can see that by us 1 min read Python | Scipy stats.hypsecant.logpdf() method With the help of stats.hypsecant.logpdf() method, we can get the log value of probability density function by using stats.hypsecant.logpdf() method. The probability density function for hypsecant is Syntax : stats.hypsecant.logpdf(x, beta) Return : Return the log of probability density function. Exa 1 min read Like