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Population Kurtosis Example for ungrouped data ( 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. Construct an ungrouped frequency distribution table
  19. Construct a grouped frequency distribution table
  20. Maximum, Minimum
  21. Sum, Length
  22. Range, Mid Range
  23. Stem and leaf plot
  24. Ascending order, Descending order

2. Population Skewness Example
(Previous example)
10. Sample Skewness, Kurtosis
(Next method)

3. Population Kurtosis Example





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


Solution:
Kurtosis :
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`
`(x - bar x)^4`
`= (x - 88)^4`
85-39-2781
968645124096
76-12144-172820736
108204008000160000
85-39-2781
80-864-5124096
10012144172820736
85-39-2781
70-18324-5832104976
957493432401
---------------
880012162430317284


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

`=sqrt(1216/10)`

`=sqrt(121.6)`

`=11.0272`



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

`=317284/(10*(11.0272)^4)`

`=317284/(10*14786.56)`

`=2.1458`


2. Calculate Population Kurtosis from the following data
`10,50,30,20,10,20,70,30`


Solution:
Kurtosis :
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`
`(x - bar x)^4`
`= (x - 30)^4`
10-20400-8000160000
50204008000160000
300000
20-10100-100010000
10-20400-8000160000
20-10100-100010000
70401600640002560000
300000
---------------
24003000540003060000


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

`=sqrt(3000/8)`

`=sqrt(375)`

`=19.3649`



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

`=3060000/(8*(19.3649)^4)`

`=3060000/(8*140625)`

`=2.72`


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


Solution:
Kurtosis :
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`
`(x - bar x)^4`
`= (x - 71)^4`
7324816
70-11-11
710000
7324816
68-39-2781
67-416-64256
69-24-816
721111
76525125625
710000
---------------
710064421012


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

`=sqrt(64/10)`

`=sqrt(6.4)`

`=2.5298`



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

`=1012/(10*(2.5298)^4)`

`=1012/(10*40.96)`

`=2.4707`




This material is intended as a summary. Use your textbook for detail explanation.
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2. Population Skewness Example
(Previous example)
10. Sample Skewness, Kurtosis
(Next method)





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