2-3. Measures of Variability (Statistical Dispersion)
离散程度的统计量
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离散程度的统计量
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다음의 두 데이터 세트가 있다. 각각의 데이터 세트를 점으로 표현한 것이 dot plot이다.
Data Set 1
40
38
42
40
39
39
43
40
39
40
Data Set 2
46
37
40
33
42
36
40
47
34
45
참고사이트 :
The range of a data set is the number R defined by the formula
where is the largest measurement in the data set and is the smallest.
EXAMPLE 23. 앞의 2개의 데이터 세트의 range를 구하라.
[Solution]
Note : range( )
function of R returns the minimum value and the maxim value of the data set.
EXAMPLE 24. 위의 예에서 Data Set 2의 sample variance와 sample standard deviation을 구하라.
[Solution]
Note : In R, var()
returns the sample variance, i.e. the denominator used in var() function is (n-1)
.
which by algebra is equivalent to the formula
EXAMPLE 25. 무작위로 선발한 10명의 학생의 평균 평점은 다음과 같다. sample variance와 sample standard deviation을 구하라.
[풀이]
[ Difference between Two Data Sets ]
평균에 대한 상대적인 변동성의 크기를 설명할 때에 변동계수(Coefficient of Variation)을 사용한다.
평균에 대한 표준편차의 비율로 표현된다.
변동계수가 클수록, 즉 표준편차가 표본평균에 비해 클수록 자료의 퍼짐진 정도가 더 크다고 할 수 있다.
EXAMPLE 26. Example 25.의 CV를 구하라.
[ Solution ]
离散程度的统计量
1) 全距(range)
2) 标准差(standard deviation)
3) 方差(variance)
4) 变异系数(coefficient of variation)
The sample variance of a set of sample data is the number defined by the formula
The sample standard deviation of a set of sample data is the square root of the sample variance, hence is the number given by the formulas
The population variance and population standard deviation of a set of population data are the numbers and defined by the formulas
and
See :
In probability theory and statistics, the coefficient of variation (CV), also known as relative standard deviation (RSD), is a standardized measure of dispersion of a probability distribution or frequency distribution. It is often expressed as a percentage, and is defined as the ratio of the standard deviation to the mean (or its absolute value, ).