Question #35315

Find the standard deviation of the distribution 12,6,7,3,15,10,18,5
1

Expert's answer

2013-09-24T07:57:09-0400

Question: Find the standard deviation of the distribution 12, 6, 7, 3, 15, 10, 18, 5.

Solution:

1) Mean value xˉ=12+6+7+3+15+10+18+58=192=9.5\bar{x} = \frac{12 + 6 + 7 + 3 + 15 + 10 + 18 + 5}{8} = \frac{19}{2} = 9.5

2) σˉ\bar{\sigma} - standard deviation.


σˉ2=18((129.5)2+(69.5)2+(79.5)2+(39.5)2+(159.5)2+(109.5)2+(189.5)2+(59.5)2)=18(2.52+3.52+2.52+6.52+5.52+0.52+8.52+4.52)=18(6.25+12.25+6.25+42.25+30.25+0.25+72.25+20.25)=18190=954.\bar{\sigma}^2 = \frac{1}{8} \left((12 - 9.5)^2 + (6 - 9.5)^2 + (7 - 9.5)^2 + (3 - 9.5)^2 + (15 - 9.5)^2 + (10 - 9.5)^2 + (18 - 9.5)^2 + (5 - 9.5)^2\right) = \frac{1}{8} \left(2.5^2 + 3.5^2 + 2.5^2 + 6.5^2 + 5.5^2 + 0.5^2 + 8.5^2 + 4.5^2\right) = \frac{1}{8} \left(6.25 + 12.25 + 6.25 + 42.25 + 30.25 + 0.25 + 72.25 + 20.25\right) = \frac{1}{8} * 190 = \frac{95}{4}.σˉ=954=952.\bar{\sigma} = \sqrt{\frac{95}{4}} = \frac{\sqrt{95}}{2}.


Answer: σˉ=952=4.8734\bar{\sigma} = \frac{\sqrt{95}}{2} = 4.8734.

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