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Population Skewness, Kurtosis for grouped data Formula & Example ( Enter your problem )
  1. Formula & Example
  2. Population Skewness Example
  3. Population Kurtosis Example
Other related methods
  1. Mean, Median and Mode
  2. Quartile
  3. Decile
  4. Percentile
  5. Octile
  6. Quintile
  7. Population Variance, Standard deviation and coefficient of variation
  8. Sample Variance, Standard deviation and coefficient of variation
  9. Population Skewness, Kurtosis
  10. Sample Skewness, Kurtosis
  11. Geometric mean, Harmonic mean
  12. Mean deviation, Coefficient of Mean deviation
  13. Quartile deviation, Coefficient of QD, Interquartile range
  14. Decile deviation, Coefficient of DD, Interdecile range
  15. Percentile deviation, Coefficient of PD, Interpercentile range
  16. Five number summary
  17. Box and Whisker Plots
  18. Mode using Grouping Method
  19. Less than type Cumulative frequency table
  20. More than type Cumulative frequency table
  21. Class and their frequency table
  22. Raw Moments and Central Moments

8. Sample Variance, Standard deviation and coefficient of variation
(Previous method)
2. Population Skewness Example
(Next example)

1. Formula & Example





Formula
1. Population Standard deviation `sigma = sqrt((sum f*(x - bar x)^2)/n)`
2. Skewness `= (sum f*(x - bar x)^3)/(n*S^3)`
3. Kurtosis `= (sum f*(x - bar x)^4)/(n*S^4)`

Examples
1. Calculate Population Skewness, Population Kurtosis from the following grouped data
ClassFrequency
2 - 43
4 - 64
6 - 82
8 - 101


Solution:
Skewness,Kurtosis :
Mean `bar x=(sum f x)/(sum f)`

`=52/10`

`=5.2`

Class
`(1)`
Mid value (`x`)
`(2)`
`f`
`(3)`
`f*x`
`(4)=(2)xx(3)`
`(x-bar x)`
`(5)`
`f*(x-bar x)`
`(6)=(3)xx(5)`
`f*(x-bar x)^2`
`(7)=(5)xx(6)`
`f*(x-bar x)^3`
`(8)=(5)xx(7)`
`f*(x-bar x)^4`
`(9)=(5)xx(8)`
2 - 4339-2.2-6.614.52-31.94470.2768
4 - 65420-0.2-0.80.16-0.0320.0064
6 - 872141.83.66.4811.66420.9952
8 - 109193.83.814.4454.872208.5136
---------------------------
----`n=10``sum f*x=52`--`=0``=35.6``=34.56``=299.792`


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

`=sqrt(35.6/10)`

`=sqrt(3.56)`

`=1.8868`



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

`=34.56/(10*(1.8868)^3)`

`=34.56/(10*6.717)`

`=0.5145`



Population Kurtosis `= (sum f*(x - bar x)^4)/(n*S^4)`

`=299.792/(10*(1.8868)^4)`

`=299.792/(10*12.6736)`

`=2.3655`


2. Calculate Population Skewness, Population Kurtosis from the following grouped data
XFrequency
01
15
210
36
43


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

`=55/25`

`=2.2`

`x`
`(2)`
`f`
`(3)`
`f*x`
`(4)=(2)xx(3)`
`(x-bar x)`
`(5)`
`f*(x-bar x)`
`(6)=(3)xx(5)`
`f*(x-bar x)^2`
`(7)=(5)xx(6)`
`f*(x-bar x)^3`
`(8)=(5)xx(7)`
`f*(x-bar x)^4`
`(9)=(5)xx(8)`
010-2.2-2.24.84-10.64823.4256
155-1.2-67.2-8.6410.368
21020-0.2-20.4-0.080.016
36180.84.83.843.0722.4576
43121.85.49.7217.49631.4928
------------------------
--`n=25``sum f*x=55`--`=0``=26``=1.2``=67.76`


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

`=sqrt(26/25)`

`=sqrt(1.04)`

`=1.0198`



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

`=1.2/(25*(1.0198)^3)`

`=1.2/(25*1.0606)`

`=0.0453`



Population Kurtosis `= (sum f*(x - bar x)^4)/(n*S^4)`

`=67.76/(25*(1.0198)^4)`

`=67.76/(25*1.0816)`

`=2.5059`







This material is intended as a summary. Use your textbook for detail explanation.
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8. Sample Variance, Standard deviation and coefficient of variation
(Previous method)
2. Population Skewness Example
(Next example)





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