In: Math
What is the SST for this set of figures
120.08 30.75 75.86 54.05 81.9 61.83 37.88 38.82 78.79 26.4 68.73 36.85 63.83 53.84 51.08 32.83 79.77 72.3 50.21 52.94 47.94 53.09 58.47 34.13 79.88 27.67 86.29 69.37 48.63 52.46 62.9 78.52 55.43 10.64 44.84 55.95 64.06 53.5 64.17 49.61 64.99 37.28 50.68 66.4 53.82 34.31 47.97 76.06 62.43 66 60.57 11.37 65.07 8.99 58.37 83.51 81.02 29.75 30.4 39.17
I used R software to solve this question.
I assume that you want SST means total sum of square =
> x=scan('clipboard')
Read 60 items
> x
[1] 120.08 30.75 75.86 54.05 81.90 61.83 37.88 38.82 78.79
26.40
[11] 68.73 36.85 63.83 53.84 51.08 32.83 79.77 72.30 50.21
52.94
[21] 47.94 53.09 58.47 34.13 79.88 27.67 86.29 69.37 48.63
52.46
[31] 62.90 78.52 55.43 10.64 44.84 55.95 64.06 53.50 64.17
49.61
[41] 64.99 37.28 50.68 66.40 53.82 34.31 47.97 76.06 62.43
66.00
[51] 60.57 11.37 65.07 8.99 58.37 83.51 81.02 29.75 30.40
39.17
> x_bar=mean(x)
> x_bar
[1] 54.9075
> sum((x-x_bar)^2)
[1] 24805.54
SST = 24805.54
Excel Output
x | x-xbar | (x-xbar)^2 | |||
120.08 | 65.1725 | 4247.455 | |||
30.75 | -24.1575 | 583.5848 | xbar = | 54.9075 | |
75.86 | 20.9525 | 439.0073 | |||
54.05 | -0.8575 | 0.735306 | |||
81.9 | 26.9925 | 728.5951 | |||
61.83 | 6.9225 | 47.92101 | |||
37.88 | -17.0275 | 289.9358 | |||
38.82 | -16.0875 | 258.8077 | |||
78.79 | 23.8825 | 570.3738 | |||
26.4 | -28.5075 | 812.6776 | |||
68.73 | 13.8225 | 191.0615 | |||
36.85 | -18.0575 | 326.0733 | |||
63.83 | 8.9225 | 79.61101 | |||
53.84 | -1.0675 | 1.139556 | |||
51.08 | -3.8275 | 14.64976 | |||
32.83 | -22.0775 | 487.416 | |||
79.77 | 24.8625 | 618.1439 | |||
72.3 | 17.3925 | 302.4991 | |||
50.21 | -4.6975 | 22.06651 | |||
52.94 | -1.9675 | 3.871056 | |||
47.94 | -6.9675 | 48.54606 | |||
53.09 | -1.8175 | 3.303306 | |||
58.47 | 3.5625 | 12.69141 | |||
34.13 | -20.7775 | 431.7045 | |||
79.88 | 24.9725 | 623.6258 | |||
27.67 | -27.2375 | 741.8814 | |||
86.29 | 31.3825 | 984.8613 | |||
69.37 | 14.4625 | 209.1639 | |||
48.63 | -6.2775 | 39.40701 | |||
52.46 | -2.4475 | 5.990256 | |||
62.9 | 7.9925 | 63.88006 | |||
78.52 | 23.6125 | 557.5502 | |||
55.43 | 0.5225 | 0.273006 | |||
10.64 | -44.2675 | 1959.612 | |||
44.84 | -10.0675 | 101.3546 | |||
55.95 | 1.0425 | 1.086806 | |||
64.06 | 9.1525 | 83.76826 | |||
53.5 | -1.4075 | 1.981056 | |||
64.17 | 9.2625 | 85.79391 | |||
49.61 | -5.2975 | 28.06351 | |||
64.99 | 10.0825 | 101.6568 | |||
37.28 | -17.6275 | 310.7288 | |||
50.68 | -4.2275 | 17.87176 | |||
66.4 | 11.4925 | 132.0776 | |||
53.82 | -1.0875 | 1.182656 | |||
34.31 | -20.5975 | 424.257 | |||
47.97 | -6.9375 | 48.12891 | |||
76.06 | 21.1525 | 447.4283 | |||
62.43 | 7.5225 | 56.58801 | |||
66 | 11.0925 | 123.0436 | |||
60.57 | 5.6625 | 32.06391 | |||
11.37 | -43.5375 | 1895.514 | |||
65.07 | 10.1625 | 103.2764 | |||
8.99 | -45.9175 | 2108.417 | |||
58.37 | 3.4625 | 11.98891 | |||
83.51 | 28.6025 | 818.103 | |||
81.02 | 26.1125 | 681.8627 | |||
29.75 | -25.1575 | 632.8998 | |||
30.4 | -24.5075 | 600.6176 | |||
39.17 | -15.7375 | 247.6689 | |||
SST= | 24805.54 | ||||