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Sample Skewness Example for ungrouped data ( Enter your problem )
  1. Formula & Example
  2. Sample Skewness Example
  3. Sample Kurtosis Example

2. Sample Skewness Example





1. Calculate Sample Skewness from the following data
`85,96,76,108,85,80,100,85,70,95`


Solution:
Skewness :
Mean `bar x=(sum x)/n`

`=(85+96+76+108+85+80+100+85+70+95)/10`

`=880/10`

`=88`

`x``(x - bar x)`
`=(x-88)`
`(x - bar x)^2`
`=(x-88)^2`
`(x - bar x)^3`
`=(x-88)^3`
85-39-27
96864512
76-12144-1728
108204008000
85-39-27
80-864-512
100121441728
85-39-27
70-18324-5832
95749343
------------
`880``0``1216``2430`


Sample Standard deviation `S = sqrt((sum (x - bar x)^2)/(n-1))`

`=sqrt(1216/9)`

`=sqrt(135.1111)`

`=11.6237`



Sample Skewness `= (sum (x - bar x)^3)/((n-1)*S^3)`

`=2430/(9*(11.6237)^3)`

`=2430/(9*1570.4951)`

`=0.1719`


2. Calculate Sample Skewness from the following data
`10,50,30,20,10,20,70,30`


Solution:
Skewness :
Mean `bar x=(sum x)/n`

`=(10+50+30+20+10+20+70+30)/8`

`=240/8`

`=30`

`x``(x - bar x)`
`=(x-30)`
`(x - bar x)^2`
`=(x-30)^2`
`(x - bar x)^3`
`=(x-30)^3`
10-20400-8000
50204008000
30000
20-10100-1000
10-20400-8000
20-10100-1000
7040160064000
30000
------------
`240``0``3000``54000`


Sample Standard deviation `S = sqrt((sum (x - bar x)^2)/(n-1))`

`=sqrt(3000/7)`

`=sqrt(428.5714)`

`=20.702`



Sample Skewness `= (sum (x - bar x)^3)/((n-1)*S^3)`

`=54000/(7*(20.702)^3)`

`=54000/(7*8872.2715)`

`=0.8695`


3. Calculate Sample Skewness from the following data
`10,50,30,20,10,20,70,30`


Solution:
Skewness :
Mean `bar x=(sum x)/n`

`=(10+50+30+20+10+20+70+30)/8`

`=240/8`

`=30`

`x``(x - bar x)`
`=(x-30)`
`(x - bar x)^2`
`=(x-30)^2`
`(x - bar x)^3`
`=(x-30)^3`
10-20400-8000
50204008000
30000
20-10100-1000
10-20400-8000
20-10100-1000
7040160064000
30000
------------
`240``0``3000``54000`


Sample Standard deviation `S = sqrt((sum (x - bar x)^2)/(n-1))`

`=sqrt(3000/7)`

`=sqrt(428.5714)`

`=20.702`



Sample Skewness `= (sum (x - bar x)^3)/((n-1)*S^3)`

`=54000/(7*(20.702)^3)`

`=54000/(7*8872.2715)`

`=0.8695`







This material is intended as a summary. Use your textbook for detail explanation.
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