3.8: 频率分布的平均值

Mean From a Frequency Distribution
JoVE Core
Statistics
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JoVE Core Statistics
Mean From a Frequency Distribution

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01:11 min
April 30, 2023

Overview

Sometimes, data gathered from an experiment on a large sample or population are organized into concise tables. In such cases, the frequency of the quantitative data set is plotted in the form of a table. Or else, the data values are grouped into the quantity’s intervals, which form classes, and their respective frequencies are known. That is, the data values are distributed over different categories or classes. This is known as frequency distribution.

When such a data set is encountered, the arithmetic mean can be calculated by considering each class as an element. Each category represents a quantity or an average quantity, and its frequency gives its weight for computing the mean.

The total number of points in the sample or population is thus the sum of the frequencies of the individual classes. Hence, the mean from a frequency distribution comprises the sum of the distribution’s frequencies in its denominator.

The mean calculated from a frequency table can be considered a weighted mean, where the weight refers to the frequency of each class.

Transcript

通常,算术平均值或简称平均值的计算方法是将所有数据值的总和除以值的总数。

但是,当重复数据值被分组到不同的类别下时,如何确定频率分布的平均值呢?

首先,将每个数据值与其相应的频率相乘。然后,将它们相加并除以频率之和得到平均值。

另一方面,如果频率分布表具有类间隔,则通过首先确定类中点来计算它们的平均值。

对于从 0 到 10 的类,中点的计算方法是将边界值相加并除以 2。同样,计算其余类的类中点。

此后,中点及其相应的频率相乘相加,如 sigma f x 表示。最后,将这些值除以 sigma f 表示的所有频率之和。这给出了频率分布的平均值。

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