diff options
Diffstat (limited to 'Doc/library')
| -rw-r--r-- | Doc/library/random.rst | 19 |
1 files changed, 10 insertions, 9 deletions
diff --git a/Doc/library/random.rst b/Doc/library/random.rst index 63c4bc7..9e55665 100644 --- a/Doc/library/random.rst +++ b/Doc/library/random.rst @@ -188,13 +188,13 @@ be found in any statistics text. .. function:: uniform(a, b) - Return a random floating point number *N* such that ``a <= N < b`` for - ``a <= b`` and ``b <= N < a`` for ``b < a``. + Return a random floating point number *N* such that ``a <= N <= b`` for + ``a <= b`` and ``b <= N <= a`` for ``b < a``. .. function:: triangular(low, high, mode) - Return a random floating point number *N* such that ``low <= N < high`` and + Return a random floating point number *N* such that ``low <= N <= high`` and with the specified *mode* between those bounds. The *low* and *high* bounds default to zero and one. The *mode* argument defaults to the midpoint between the bounds, giving a symmetric distribution. @@ -204,8 +204,8 @@ be found in any statistics text. .. function:: betavariate(alpha, beta) - Beta distribution. Conditions on the parameters are ``alpha > 0`` and ``beta > - 0``. Returned values range between 0 and 1. + Beta distribution. Conditions on the parameters are ``alpha > 0`` and + ``beta > 0``. Returned values range between 0 and 1. .. function:: expovariate(lambd) @@ -219,14 +219,15 @@ be found in any statistics text. .. function:: gammavariate(alpha, beta) - Gamma distribution. (*Not* the gamma function!) Conditions on the parameters - are ``alpha > 0`` and ``beta > 0``. + Gamma distribution. (*Not* the gamma function!) Conditions on the + parameters are ``alpha > 0`` and ``beta > 0``. .. function:: gauss(mu, sigma) - Gaussian distribution. *mu* is the mean, and *sigma* is the standard deviation. - This is slightly faster than the :func:`normalvariate` function defined below. + Gaussian distribution. *mu* is the mean, and *sigma* is the standard + deviation. This is slightly faster than the :func:`normalvariate` function + defined below. .. function:: lognormvariate(mu, sigma) |