Joel L. answered 04/23/21
MS Mathematics coursework with 20+ Years of Teaching Experience
(3) Variance is simply the square of standard deviation:
s = 9.4582 kg
s2 ≈ 89.4575 kg2
(4)
x x-x̅ (x-x̅)2
65 19.273 371.438
49 3.273 10.711
38 -7.727 59.711
52 6.273 39.347
18 -27.727 768.802
66 20.273 410.983
7 -38.727 1499.802
78 32.273 1041.529
34 -11.727 137.529
57 11.273 127.074
39 -6727 45.256
----------------------------------------------------
Σ 503 4512.182
For mean (x̅):
x̅ = 45.727
n = 11
For variance:
s2 = Σ(x-x̅)2 / (n-1) = 4512.182 / 9 ≈ 451.218
s = √s2 ≈ 21.242
Range (R):
R = max-min = 78-7 = 71
Both variance and standard deviation are measures of variability of the data. It tells you the degree of spread of the data. If you try to change the minimum and/or maximum and make it closer to the mean, then both variance and standard deviation are going to be smaller in value. However, the data is considered as qualitative. The numbers are very insignificant for computation because it only identifies a person. The Jersey number 7, for example, doesn't mean he is the weakest or the smallest among the players or the number 78 is the tallest or rank 78th in performance among all players. No, it's not quantitative but categorical.
x x-x̅ (x-x̅)2
38 14.2 201.64
37 13.2 174.24
35 11.2 125.44
29 5.2 27.04
20 -3.8 14.44
19 -4.8 23.04
17 -6.8 46.24
15 -8.8 77.44
14.7 -9.1 82.81
13.3 -10.5 110.25
-----------------------------------------
Σ 238 882.58
For mean (x̅):
x̅ = 23.8
n = 10
For variance:
s2 = Σ(x-x̅)2 / (n-1) = 882.58 / 9 ≈ 98.064
For standard deviation:
s = √s2 ≈ 9.9064
Range (R):
R = max-min = 38 - 13.3 = 24.7
Again, both variance and standard deviation are measures of variability of the data. It tells you the degree of spread of the data. If you try to change the minimum and/or maximum and make it closer to the mean, then both variance and standard deviation are going to be smaller in value. The list of numbers above are considered to be quantitative data because there is a certain ranking can be made.