In: Statistics and Probability
Calcuate:
Dispersion measures
Tailedness measures
15 - 27 14.5 -
27.5 7
28 - 40 27.5 -
40.5 13
41 - 53 40.5 -
53.5 16
54 - 66 53.5 -
66.5 21
67 - 79 66.5 -
79.5 15
80 - 92 79.5 - 92.5
6
93 - 105 92.5 - 105.5 2
The measures of dispersion are Range, Standard deviation, Quartile deviation, Mean Deviation etc. and the measures of tailedness is kurtosis.
Range = highest value- lowest value
Range = 93-(-105.5) = 198.5
To calculate standard deviation:
15 |
17.71429 |
313.7959 |
28 |
30.71429 |
943.3673 |
41 |
43.71429 |
1910.939 |
54 |
56.71429 |
3216.51 |
67 |
69.71429 |
4860.082 |
80 |
82.71429 |
6841.653 |
93 |
95.71429 |
9161.224 |
-27 |
-24.2857 |
589.7959 |
-40 |
-37.2857 |
1390.224 |
-53 |
-50.2857 |
2528.653 |
-66 |
-63.2857 |
4005.082 |
-79 |
-76.2857 |
5819.51 |
-92 |
-89.2857 |
7971.939 |
-105 |
-102.286 |
10462.37 |
14.5 |
17.21429 |
296.3316 |
27.5 |
30.21429 |
912.9031 |
40.5 |
43.21429 |
1867.474 |
53.5 |
56.21429 |
3160.046 |
66.5 |
69.21429 |
4790.617 |
79.5 |
82.21429 |
6759.189 |
92.5 |
95.21429 |
9065.76 |
-27.5 |
-24.7857 |
614.3316 |
-40.5 |
-37.7857 |
1427.76 |
-53.5 |
-50.7857 |
2579.189 |
-66.5 |
-63.7857 |
4068.617 |
-79.5 |
-76.7857 |
5896.046 |
-92.5 |
-89.7857 |
8061.474 |
-105.5 |
-102.786 |
10564.9 |
7 |
9.714286 |
94.36735 |
13 |
15.71429 |
246.9388 |
16 |
18.71429 |
350.2245 |
21 |
23.71429 |
562.3673 |
15 |
17.71429 |
313.7959 |
6 |
8.714286 |
75.93878 |
2 |
4.714286 |
22.22449 |
-95 |
121745.6429 |
= -95/35
= -2.7143
= 59.8394
Tailedness is measured using skewness. let us use Karl Pearson's coefficient of Skewness.
Karl Pearson's coefficient of Skewness = (Mean-Mode)/Standard Devation
We have already calculated mean and Standard deviation. We have mean= 2.7143 and SD = 59.8394. Mode of the given data is 15
Therefore, Karl Pearson's coefficient of Skewness = (-2.7143-15)/59.8394 = -2.9650