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 | -3 | 9 | -27 | 81 |
| 96 | 8 | 64 | 512 | 4096 |
| 76 | -12 | 144 | -1728 | 20736 |
| 108 | 20 | 400 | 8000 | 160000 |
| 85 | -3 | 9 | -27 | 81 |
| 80 | -8 | 64 | -512 | 4096 |
| 100 | 12 | 144 | 1728 | 20736 |
| 85 | -3 | 9 | -27 | 81 |
| 70 | -18 | 324 | -5832 | 104976 |
| 95 | 7 | 49 | 343 | 2401 |
| --- | --- | --- | --- | --- |
| `880` | `0` | `1216` | `2430` | `317284` |
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 | -20 | 400 | -8000 | 160000 |
| 50 | 20 | 400 | 8000 | 160000 |
| 30 | 0 | 0 | 0 | 0 |
| 20 | -10 | 100 | -1000 | 10000 |
| 10 | -20 | 400 | -8000 | 160000 |
| 20 | -10 | 100 | -1000 | 10000 |
| 70 | 40 | 1600 | 64000 | 2560000 |
| 30 | 0 | 0 | 0 | 0 |
| --- | --- | --- | --- | --- |
| `240` | `0` | `3000` | `54000` | `3060000` |
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` |
| 73 | 2 | 4 | 8 | 16 |
| 70 | -1 | 1 | -1 | 1 |
| 71 | 0 | 0 | 0 | 0 |
| 73 | 2 | 4 | 8 | 16 |
| 68 | -3 | 9 | -27 | 81 |
| 67 | -4 | 16 | -64 | 256 |
| 69 | -2 | 4 | -8 | 16 |
| 72 | 1 | 1 | 1 | 1 |
| 76 | 5 | 25 | 125 | 625 |
| 71 | 0 | 0 | 0 | 0 |
| --- | --- | --- | --- | --- |
| `710` | `0` | `64` | `42` | `1012` |
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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