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Question

Question: The variance of the series \[3,5,8,6,12\] and \[11\] is...

The variance of the series 3,5,8,6,123,5,8,6,12 and 1111 is

Explanation

Solution

In the given question, we have to find out the variance of given series. Variance is basically a statistical measurement of the spread between the numbers in a given data set. Variance measures that your number is far from the mean of the observations where mean is the division of sum of observations to the number of observations.

Complete answer:
In the given question, we have to find out the variance of the series 3,5,8,6,123,5,8,6,12 and 1111.
For this, firstly we will find mean because it will be used in the formula of variance.
Mean=Sum of observationsNumber of observations{\text{Mean}} = \dfrac{{{\text{Sum of observations}}}}{{{\text{Number of observations}}}}
Where sum of observations means 3+5+8+6+12+11=453 + 5 + 8 + 6 + 12 + 11 = 45 and the number of observations are 66.
Therefore, Mean=456 = \dfrac{{45}}{6}
=7.5= 7.5
We denote the mean by x\overline x , which is 7.57.5.
So, x=7.5\overline x = 7.5
Also, there are 66 observations which are denoted as n1,n2,n3,n4,n5n1,n2,n3,n4,n5 and n6n6 for 66 observations in the series and in general, we denote all these by ni{n_i}. Formula of variance is given by
Variance=(xix)2n1 = \dfrac{{\sum {{{\left( {{x_i} - \overline x } \right)}^2}} }}{{n - 1}}
Where xi{x_i} is the number of observations one at a time, x\overline x is mean and nn is the number of observations which is 66.
So, we firstly calculate xix{x_i} - \overline x and then (xix)2{\left( {{x_i} - \overline x } \right)^2} as

(xix)\left( {{x_i} - \overline x } \right)(xix)2{\left( {{x_i} - \overline x } \right)^2}
3 - 7.5 = - 4.5$$$$5 - 7.5 = - 2.5$$$$8 - 7.5 = 0.5$$$$6 - 7.5 = - 1.5$$$$12 - 7.5 = 4.5$$$$11 - 7.5 = 3.520.25$$$$6.25$$$$0.25$$$$2.25$$$$20.25$$$$12.25
(xix)2=61.5\sum {{{\left( {{x_i} - \overline x } \right)}^2} = 61.5}

Hence, we have calculated (xix)2\sum {{{\left( {{x_i} - \overline x } \right)}^2}} where (xix)2\sum {{{\left( {{x_i} - \overline x } \right)}^2}} is the sum of all the observations after calculating (xix)2{\left( {{x_i} - \overline x } \right)^2} and (xix)2{\left( {{x_i} - \overline x } \right)^2} is obtained by squaring of (xix)\left( {{x_i} - \overline x } \right) and (xix)\left( {{x_i} - \overline x } \right) is obtained by subtracting xi{x_i} from x\overline x one by one.
Therefore, on substituting the value of (xix)2=7.5\sum {{{\left( {{x_i} - \overline x } \right)}^2} = 7.5} in formula of variance, we get
Variance=(xix)2n1 = \dfrac{{\sum {{{\left( {{x_i} - \overline x } \right)}^2}} }}{{n - 1}}
61.561=61.55\Rightarrow \dfrac{{61.5}}{{6 - 1}} = \dfrac{{61.5}}{5}
And hence we got 12.312.3

Therefore, variance of the given series is 12.312.3.

Note: If we take square root of variance, we get another statistical measurement which is standard deviation. We denote standard deviation as σ\sigma . It means variance is square of standard deviation where standard deviation is the measurement of amount of variance and indicates that the values are spread out over a wider range.