Standard deviation and variance using the definitional formula set containing th
ID: 3301914 • Letter: S
Question
Explanation / Answer
Let us calculate the sum of squares of deviations first.
SS = (-1.625)2 + (6.375)2 + (-17.625)2 + (-5.625)2 + (5.375)2 + (10.375)2 + (2.375)2 + (0.375)2
= 2.640625 + 40.640625 + 310.640625 + 31.640625 + 28.890625 + 107.640625 + 5.640625 + 0.140625
= 527.875
Sample variance s2 = SS / (N-1)
= 527.875 / (8 - 1)
= 527.875 / 7
= 75.41
Sample standard deviation s = 75.41 = 8.6839
Population variance 2 = SS / N
= 527.875 / 8
= 65.98
Population standard deviation = 65.98 = 8.12
If the value 100 would be replaced by 1000, the mean deviation and thus the sum of squares would increase. The new values for variance and standard deviation would increase.