In: Statistics and Probability
We know, Sum of Squares (SS) = , where, is each value and is the mean of the data.
We know, Variance = = SS/(n-1)
Thus, Variance = SS/(n-1).
And, Standard Deviation = √(Variance)
The values of Sample A are : 8, 10, 18, 1, 6, 11, 9, 10, 10, 7.
We know, Mean = (Sum of all values)/(Total number of values).
Here, total number of values = 10.
Thus, Mean, = (8+10+18+1+6+11+9+10+10+7)/10 = 90/10 = 9
Thus, = 9.
Thus, SS = = = 1 + 1 + 81 + 64 + 9 + 4 + 0 + 1 + 1 + 4 = 166.
Thus, Sum of Squares, SS = 166.
Now, Variance = SS/(n-1). Here, n = 10. Thus, (n - 1) = (10 - 1) = 9.
Thus, Variance = 166/9 = 18.444(rounded up to three decimal places).
Thus, Variance = 18.444.
Now, Standard Deviation = √(Variance) = √(18.444) = 4.295(rounded up to three decimal places).
Thus, Standard Deviation = 4.295.