Lines Matching +refs:new +refs:mu

385 .. function:: pstdev(data, mu=None)
396 .. function:: pvariance(data, mu=None)
404    If the optional second argument *mu* is given, it is typically the mean of
424    optional second argument *mu* to avoid recalculation:
428       >>> mu = mean(data)
429       >>> pvariance(data, mu)
526       :func:`pvariance` function as the *mu* parameter to get the variance of a
690 .. class:: NormalDist(mu=0.0, sigma=1.0)
692     Returns a new *NormalDist* object where *mu* represents the `arithmetic
731        Makes a normal distribution instance with *mu* and *sigma* parameters
745        If *seed* is given, creates a new instance of the underlying random
816         NormalDist(mu=41.0, sigma=4.5)
904     >>> round(NormalDist(mu=n*p, sigma=sqrt(n*p*q)).cdf(k + 0.5), 4)
940 Next, we encounter a new person whose feature measurements are known but whose