Lines Matching defs:median
17 median Median (middle value) of data.
18 median_low Low median of data.
19 median_high High median of data.
32 Calculate the standard median of discrete data:
34 >>> median([2, 3, 4, 5])
38 Calculate the median, or 50th percentile, of data grouped into class intervals
47 the class interval 3.5-4.5. The median of these data points is 2.8333...
117 'median',
549 def median(data):
550 """Return the median (middle value) of numeric data.
553 When the number of data points is even, the median is interpolated by
556 >>> median([1, 3, 5])
558 >>> median([1, 3, 5, 7])
565 raise StatisticsError("no median for empty data")
574 """Return the low median of numeric data.
588 raise StatisticsError("no median for empty data")
596 """Return the high median of data.
610 raise StatisticsError("no median for empty data")
615 """Estimates the median for numeric data binned around the midpoints
635 The 50th percentile (median) is the 536th person out of the 1071
638 The regular median() function would assume that everyone in the
644 >>> median(data)
660 raise StatisticsError("no median for empty data")
678 # Interpolate the median using the formula found at:
679 # https://www.cuemath.com/data/median-of-grouped-data/
680 L = x - interval / 2.0 # Lower limit of the median interval
682 f = j - i # Number of elements in the median internal
755 # betavariate(alpha=3, beta=7) which has mode=0.250, median=0.286, and
1290 def median(self):
1291 "Return the median of the normal distribution"