###什么是集中趋势度量？
A measure of central tendency (also referred to as measures of centre or central location) is a summary measure that attempts to describe a whole set of data with a single value that represents the middle or centre of its distribution.
There are three main measures of central tendency: the mode, the median and the mean. Each of these measures describes a different indication of the typical or central value in the distribution.
集中趋势的度量（也称为中心或中心位置的度量）是一种汇总度量，试图用表示其分布的中间或中心的单个值来描述整个数据集。
集中趋势主要有三种衡量指标：众数，中位数和均值。 这些度量中的每一个都描述了分布中典型或中心值的不同指示。
布的形状如何影响集中趋势的衡量标准？
- Symmetrical distributions 对称分布
- Skewed distributions 倾斜的分布
异常值如何影响集中趋势的度量？
Outliers are extreme, or atypical data value(s) that are notably different from the rest of the data.
It is important to detect outliers within a distribution, because they can alter the results of the data analysis. The mean is more sensitive to the existence of outliers than the median or mode.
异常值是极端的或非典型的数据值，与其他数据明显不同。
检测分布中的异常值很重要，因为它们可以改变数据分析的结果。 平均值对异常值的存在比中值或众数更敏感。
