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Quartile, Decile, Percentile, Octile, Quintile for ungrouped data Formula & Example ( Enter your problem )
  1. Formula & Example
  2. Quartile Example
  3. Decile Example
  4. Percentile Example
  5. Octile Example
  6. Quintile Example
Other related methods
  1. Mean, Median and Mode
  2. Quartile, Decile, Percentile, Octile, Quintile
  3. Population Variance, Standard deviation and coefficient of variation
  4. Sample Variance, Standard deviation and coefficient of variation
  5. Population Skewness, Kurtosis
  6. Sample Skewness, Kurtosis
  7. Geometric mean, Harmonic mean
  8. Mean deviation, Coefficient of Mean deviation
  9. Quartile deviation, Coefficient of QD, Interquartile range
  10. Decile deviation, Coefficient of DD, Interdecile range
  11. Percentile deviation, Coefficient of PD, Interpercentile range
  12. Five number summary
  13. Box and Whisker Plots
  14. Construct an ungrouped frequency distribution table
  15. Construct a grouped frequency distribution table
  16. Maximum, Minimum
  17. Sum, Length
  18. Range, Mid Range
  19. Stem and leaf plot
  20. Ascending order, Descending order

1. Mean, Median and Mode
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2. Quartile Example
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1. Formula & Example





Formula
Arrange the data in ascending order, then

1. Quartile
`Q_i = ((i * (n+1))/4)^(th)` value of the observation, where i=1,2,3
2. Deciles
`D_i = ((i * (n+1))/10)^(th)` value of the observation, where i=1,2,3, ..., 9
3. Percentiles
`P_i = ((i * (n+1))/100)^(th)` value of the observation, where i=1,2,3, ..., 99

Examples
1. Calculate Quartile-1, Deciles-3, Percentiles-20 from the following data
3,13,11,11,5,4,2


Solution:
Arranging Observations in the ascending order, We get :
`2, 3, 4, 5, 11, 11, 13`

Here, `n = 7`

`Q_1 = ((n+1)/4)^(th)` value of the observation

`=(8/4)^(th)` value of the observation

`=2^(nd)` value of the observation

`=3`



`D_3 = ((3(n+1))/10)^(th)` value of the observation

`=(3(8/10))^(th)` value of the observation

`=(2.4)^(th)` value of the observation

`=2^(nd)` observation ` + 0.4 [3^(rd) - 2^(nd)]`

`=3 + 0.4 [4 - 3]`

`=3 + 0.4 (1)`

`=3 + 0.4`

`=3.4`



`P_20 = ((20(n+1))/100)^(th)` value of the observation

`=(20(8/100))^(th)` value of the observation

`=(1.6)^(th)` value of the observation

`=1^(st)` observation ` + 0.6 [2^(nd) - 1^(st)]`

`=2 + 0.6 [3 - 2]`

`=2 + 0.6 (1)`

`=2 + 0.6`

`=2.6`
2. Calculate Quartile-2, Deciles-6, Percentiles-45 from the following data
85,96,76,108,85,80,100,85,70,95


Solution:
Arranging Observations in the ascending order, We get :
`70, 76, 80, 85, 85, 85, 95, 96, 100, 108`

Here, `n = 10`

`Q_2 = ((2(n+1))/4)^(th)` value of the observation

`=(2(11/4))^(th)` value of the observation

`=(5.5)^(th)` value of the observation

`=5^(th)` observation ` + 0.5 [6^(th) - 5^(th)]`

`=85 + 0.5 [85 - 85]`

`=85 + 0.5 (0)`

`=85 + 0`

`=85`



`D_6 = ((6(n+1))/10)^(th)` value of the observation

`=(6(11/10))^(th)` value of the observation

`=(6.6)^(th)` value of the observation

`=6^(th)` observation ` + 0.6 [7^(th) - 6^(th)]`

`=85 + 0.6 [95 - 85]`

`=85 + 0.6 (10)`

`=85 + 6`

`=91`



`P_45 = ((45(n+1))/100)^(th)` value of the observation

`=(45(11/100))^(th)` value of the observation

`=(4.95)^(th)` value of the observation

`=4^(th)` observation ` + 0.95 [5^(th) - 4^(th)]`

`=85 + 0.95 [85 - 85]`

`=85 + 0.95 (0)`

`=85 + 0`

`=85`


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