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

2. Population Skewness Example





1. Calculate Population 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`


Population Standard deviation `sigma = sqrt((sum (x - bar x)^2)/n)`

`=sqrt(1216/10)`

`=sqrt(121.6)`

`=11.0272`



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

`=2430/(10*(11.0272)^3)`

`=2430/(10*1340.9123)`

`=0.1812`


2. Calculate Population 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`


Population Standard deviation `sigma = sqrt((sum (x - bar x)^2)/n)`

`=sqrt(3000/8)`

`=sqrt(375)`

`=19.3649`



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

`=54000/(8*(19.3649)^3)`

`=54000/(8*7261.8438)`

`=0.9295`


3. Calculate Population Skewness from the following data
`73,70,71,73,68,67,69,72,76,71`


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

`=(73+70+71+73+68+67+69+72+76+71)/10`

`=710/10`

`=71`

`x``(x - bar x)`
`=(x-71)`
`(x - bar x)^2`
`=(x-71)^2`
`(x - bar x)^3`
`=(x-71)^3`
73248
70-11-1
71000
73248
68-39-27
67-416-64
69-24-8
72111
76525125
71000
------------
`710``0``64``42`


Population Standard deviation `sigma = sqrt((sum (x - bar x)^2)/n)`

`=sqrt(64/10)`

`=sqrt(6.4)`

`=2.5298`



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

`=42/(10*(2.5298)^3)`

`=42/(10*16.1909)`

`=0.2594`







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