Question

Difficulty: HardMeasures of Dispersion

The arithmetic mean of five observations 11, 33, xx, 99, and 1212 is 66. What is the variance of this set of observations?

  1. A
    3.63.6
  2. B
    44
  3. 1616Answer
  4. D
    2020

Answer

The variance of the set of observations is 1616.
First, the missing value is found by equating the sum of the five numbers to 5×6=305 \times 6 = 30, which gives x=5x = 5. The data set is 1,3,5,9,121, 3, 5, 9, 12. The deviations from the mean 66 are 5,3,1,3,6-5, -3, -1, 3, 6, and their squares are 25,9,1,9,3625, 9, 1, 9, 36. Summing these squared deviations gives 8080. Dividing by the number of observations (55) yields the variance of 1616.

Step-by-Step Solution

1
Find the missing value xx using the arithmetic mean formula.
x=5x = 5
The mean of N=5N = 5 numbers is xˉ=6\bar{x} = 6, so the total sum is 5×6=305 \times 6 = 30. Summing the known numbers gives 1+3+x+9+12=30    25+x=30    x=51 + 3 + x + 9 + 12 = 30 \implies 25 + x = 30 \implies x = 5.
2
Calculate the deviations (xixˉ)(x_i - \bar{x}) for each data value from the mean xˉ=6\bar{x} = 6.
Deviations are 5,3,1,3,6-5, -3, -1, 3, 6
Subtracting 66 from each value (1,3,5,9,12)(1, 3, 5, 9, 12) gives 16=51-6=-5, 36=33-6=-3, 56=15-6=-1, 96=39-6=3, and 126=612-6=6.
3
Square each deviation.
Squared deviations are 25,9,1,9,3625, 9, 1, 9, 36
Squaring each deviation yields (5)2=25(-5)^2 = 25, (3)2=9(-3)^2 = 9, (1)2=1(-1)^2 = 1, 32=93^2 = 9, and 62=366^2 = 36.
4
Compute the population variance σ2=(xixˉ)2N\sigma^2 = \frac{\sum (x_i - \bar{x})^2}{N}.
σ2=16\sigma^2 = 16
The sum of squared deviations is 25+9+1+9+36=8025 + 9 + 1 + 9 + 36 = 80. Dividing by N=5N = 5 gives 805=16\frac{80}{5} = 16.

Key Concept

Variance of Ungrouped Data with a Missing Observation
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