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Question: The batting scores of two cricket players \(A\) and \(B\) in \(10\) innings are as follow: - Batsm...

The batting scores of two cricket players AA and BB in 1010 innings are as follow: -
Batsman A15,17,19,27,30,36,40,90,95,110A - 15,17,19,27,30,36,40,90,95,110
Batsman B10,16,21,28,37,41,36,80,82,65B - 10,16,21,28,37,41,36,80,82,65
Find which of the players is more consistent.

Explanation

Solution

In the given question we need to find which player is more consistent so finding this we need to find the value of the standard deviation of both players then we will compare both the standard deviation and player which has a minimum value of standard deviation is the more consistent.

Complete step by step Solution:
Given that we have two players AA and BB in 1010 innings are as follow: -
Batsman A15,17,19,27,30,36,40,90,95,110A - 15,17,19,27,30,36,40,90,95,110
Batsman B10,16,21,28,37,41,36,80,82,65B - 10,16,21,28,37,41,36,80,82,65
Now first we will calculate the standard deviation for AA and then similarly find for BB.
We know that the formula for standard deviation
If the given data is the xxand the total number of data is NN and the mean of given data is x\overline x then the standard deviation of given data is the denoted by the σ\sigma then
σ=ni=1(xix)2N\sigma = \sqrt {\sum\limits_n^{i = 1} {\dfrac{{{{({x_i} - \overline x )}^2}}}{N}} }
Where the σ\sigma is the standard deviation of given data and xxis value of given data and x\overline x is the mean or average value of the given data ,NN is the value of the number of data which is given for AAwhere i=1,2,3,4,5,6,.................ni = 1,2,3,4,5,6,.................n
Now we will calculate standard deviation for AA
Let - x=15,17,19,27,30,36,40,90,95,110x = 15,17,19,27,30,36,40,90,95,110
First, we will find the mean value of given data for AA then we will get
=15+17+19+27+30+36+40+90+95+11010= \dfrac{{15 + 17 + 19 + 27 + 30 + 36 + 40 + 90 + 95 + 110}}{{10}}
Now after completely solving the above addition we will get the value of the mean for AA
=47.9= 47.9
The mean value or we can say it is the average value of the given data for AAso we can denote it by the x\overline x which is the sign for the mean and average of data
So, we can write it as x=47.9\overline x = 47.9
Now we will find the value of the (xx)(x - \overline x ) which is we will get then
(xx)=(x47.9)(x - \overline x ) = (x - 47.9)
Now after calculating we will get the value of (xx)(x - \overline x )
(xx)=32.9,30.9,28.9,20.9,17.9,11.9,7.9,42.1,47.1,62.1\Rightarrow (x - \overline x ) = - 32.9, - 30.9, - 28.9, - 20.9, - 17.9, - 11.9, - 7.9,42.1,47.1,62.1
Now we will calculate the square of all values of (xx)(x - \overline x ) that is we will calculate the value of the (xx)2{(x - \overline x )^2} then after calculating the value of the we will get the value which are
(xx)2{(x - \overline x )^2}= 1082.41,954.81,8635.21,436.81,320.41,141.61,62.41,1772.41,2218.41,3856.411082.41,954.81,8635.21,436.81,320.41,141.61,62.41,1772.41,2218.41,3856.41
Now we will calculate the sum of the all value of the (xx)2{(x - \overline x )^2} then we will get the value of the (xx)2\sum\limits_{}^{} {} {(x - \overline x )^2} then
cv(xx)2=11680.9 \Rightarrow \sum\limits_{}^{} {} {(x - \overline x )^2} = 11680.9
And the given number of data is the N=10N = 10
Now we will put all values in the formula of standard deviation which is σ=ni=1(xix)2N\sigma = \sqrt {\sum\limits_n^{i = 1} {\dfrac{{{{({x_i} - \overline x )}^2}}}{N}} } then we will get the value of the standard deviation σ\sigma
σA=ni=1(xixA)2N\Rightarrow {\sigma _A} = \sqrt {\sum\limits_n^{i = 1} {\dfrac{{{{({x_i} - \overline {{x_A}} )}^2}}}{N}} }
Now after putting values we will get
σA=11680.910\Rightarrow {\sigma _A} = \sqrt {\dfrac{{11680.9}}{{10}}}
Now after calculating we will get the value of the standard deviation σA{\sigma _A}
σA=116809100\Rightarrow {\sigma _A} = \sqrt {\dfrac{{116809}}{{100}}}
σA=341.7710\Rightarrow {\sigma _A} = \dfrac{{341.77}}{{10}}
Now after calculating we will get the value of the standard deviation σA{\sigma _A}
σA=341.7710=34.177\Rightarrow {\sigma _A} = \dfrac{{341.77}}{{10}} = 34.177
Therefore, the standard deviation of AA is the σA=34.177{\sigma _A} = 34.177
Similarly, we will find standard deviation for the Batsman B10,16,21,28,37,41,36,80,82,65B - 10,16,21,28,37,41,36,80,82,65
Then we will get the standard deviation for the BB then we will get the value of the σB{\sigma _B}
Then the value of the σB=7.727{\sigma _B} = 7.727
Now we will compare both standard deviation σA{\sigma _A} and the σB{\sigma _B} then
we have σA=34.177{\sigma _A} = 34.177 and σB=7.727{\sigma _B} = 7.727 we can see clearly that the value of the σA>σB{\sigma _A} > {\sigma _B}

so, we can say that the player BB is more consistent than the player AA.

Note:
We can solve this question by directly putting the value of the (xx)(x - \overline x ) but this type of question is more calculative so always calculate the approximation value and don't try to find the exact value.