Respuesta :
To compute the standard deviation, we first need the array of distances from the mean. So, we consider the difference between each element of the dataset and the mean:
[tex] 20-22, 12-22, 27-22, 23-22, 18-22, 20-22, 30-22, 26-22 [/tex]
which is
[tex] -2, 10, 5, 1, -4, -2, 8, 4 [/tex]
Then, we need to square this array:
[tex] 4, 100, 25, 1, 16, 4, 64, 16 [/tex]
Then, we consider the mean of this new array, so we sum its components and divide by the number of elements:
[tex] \dfrac{4+ 100+ 25+ 1+ 16+4+ 64+ 16}{8} = \dfrac{230}{8} = \dfrac{115}{4} [/tex]
This is the variance, i.e. the standard deviation squared. So, we only need to take the square root of the variance to get the standard deviation:
[tex] \sigma = \sqrt{\dfrac{115}{4}} = \dfrac{\sqrt{115}}{2} \approx 5.36 [/tex]