interval#
- rv_histogram.interval(confidence, *args, **kwds)[source]#
- Confidence interval with equal areas around the median. - Parameters:
- confidencearray_like of float
- Probability that an rv will be drawn from the returned range. Each value should be in the range [0, 1]. 
- arg1, arg2, …array_like
- The shape parameter(s) for the distribution (see docstring of the instance object for more information). 
- locarray_like, optional
- location parameter, Default is 0. 
- scalearray_like, optional
- scale parameter, Default is 1. 
 
- Returns:
- a, bndarray of float
- end-points of range that contain - 100 * alpha %of the rv’s possible values.
 
 - Notes - This is implemented as - ppf([p_tail, 1-p_tail]), where- ppfis the inverse cumulative distribution function and- p_tail = (1-confidence)/2. Suppose- [c, d]is the support of a discrete distribution; then- ppf([0, 1]) == (c-1, d). Therefore, when- confidence=1and the distribution is discrete, the left end of the interval will be beyond the support of the distribution. For discrete distributions, the interval will limit the probability in each tail to be less than or equal to- p_tail(usually strictly less).