A somewhat easy to compute quantitative estimate of a data set’s central tendency is its midrange, which is defined as the mean of the minimum and maximum values of an ordered data set.
Simply put, the midrange is half of the data set’s range. Similar to the mean, the midrange is sensitive to the extreme values and hence the prospective outliers. However, unlike the mean, the midrange is not sensitive to all the values of the data set that lie in the middle. Thus, it is prone to outliers and does not accurately represent the central tendency of the data set.
Due to these disadvantages, the midrange is not used much. Nonetheless, in a relatively fluctuation-free data set, it can be easily calculated to obtain a quick estimate of the central tendency.
中间范围是集中趋势的度量之一。它是两个极值之间的中间值,通常定义为最大和最小数据值的算术平均值。
在这个婴儿睡眠时间的示例数据集中,可以通过将最大和最小小时数相加并将总和除以 2 来计算中间值。
虽然中间值相对容易计算,但它很少用于统计,因为它忽略了所有中间数据值,并且在测量中缺乏稳健性。
中频对极值也很敏感。在此示例中,最大或最小睡眠时间的变化可以改变中间值。此外,中间范围不能用于分类数据,例如排名或标签。
中间范围是对范围或最大值和最小值之间的差值的补充。例如,通过了解中间值和数据范围,可以计算此数据集中的最大值和最小值。
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