Dispersion is described as a single value that describes the spread of a distribution.
The common measures of dispersion are:
Range
Interquartile Range
Variance
Standard Deviation
Range
The range (R) is the difference between the highest value (HV) and the lowest value (LV) in a data set.
It is considered the weakest measure of dispersion.
Formula: R=HV−LV
Interquartile Range
The interquartile range is the middle 50% of a data set.
It is the difference between the upper quartile (UQ) and the lower quartile (LQ).
Formula: InterquartileRange=UQ−LQ
Example Calculation
Given Data Set: 21, 24, 25, 25, 28, 29, 30, 31, 32, 33, 39, 42, 48
Calculate the range, interquartile range, variance, and standard deviation.
Data and Calculations Table
x
x̄ (mean)
(x – x̄)
(x – x̄)²
21
31.31
-10.31
106.2961
24
31.31
-7.31
53.4361
25
31.31
-6.31
39.8161
25
31.31
-6.31
39.8161
28
31.31
-3.31
10.9561
29
31.31
-2.31
5.3361
30
31.31
-1.31
1.7161
31
31.31
-0.31
0.0961
32
31.31
0.69
0.4761
33
31.31
1.69
2.8561
39
31.31
7.69
59.1361
42
31.31
10.69
114.2761
48
31.31
16.69
278.5561
Σx = 407
Σ(x – x̄)² = 712.7693
Mean (x̄) Calculation: x̄ = $\\\Sigma x / n = 407 / 13 = 31.3076 ≈ 31.31
Sum of Squared Differences: Σ(x–xˉ)2=712.7693
1. Range Calculation:
Highest Value (HV) = 48
Lowest Value (LV) = 21
R=48−21=27
Interquartile Range Calculation:
Median = 30
Lower Quartile (LQ) = 25 (average of 25 and 25)
Upper Quartile (UQ) = 36 (average of 33 and 39)
InterquartileRange=36−25=11
Variance Calculation:
Formula: S2=Σ(x–xˉ)2/(n−1)
S2=712.7693/(13−1)=712.7693/12
S2=59.3974≈59.40
Standard Deviation Calculation:
Formula: Sd=S2
Sd=59.40=7.707≈7.71
Problem Analysis 1-2
Given the results of 6 students in a 50-item multiple-choice exam: 47, 36, 42, 35, 23, 27
Task: Rearrange the data, construct a table for x, x̄, (x-x̄), and (x-x̄)², and compute the range, interquartile range, first quartile, third quartile, mean, variance, and standard deviation.