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Position measurements
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Position measurements
are
- Position measures divide a data set into groups with the same number of individuals. To calculate the position measures it is necessary that the data are ordered from smallest to largest.
- quartiles
- the quartiles are the three values of the variable that divide a data set into four equal parts Q1, Q2, Q3 determine the values corresponding to 25%, 50% and 75% of the data.
- QK=K(n+1)/4
- the quartiles are the three values of the variable that divide a data set into four equal parts Q1, Q2, Q3 determine the values corresponding to 25%, 50% and 75% of the data.
- quintiles
- A quintile is one fifth of a population. They divide this into five equal parts, each one of them contains 20% of the population data, there are four quintiles that are denoted Q1, Q2, Q3 and Q4
- VK=K(n+1)/5
- A quintile is one fifth of a population. They divide this into five equal parts, each one of them contains 20% of the population data, there are four quintiles that are denoted Q1, Q2, Q3 and Q4
- deciles
- the deciles are nine values that divide the data series into ten equal parts, the deciles give the values corresponding to 10%, 20%...90%
- DK=K(n+1)/10
- the deciles are nine values that divide the data series into ten equal parts, the deciles give the values corresponding to 10%, 20%...90%
- persentiles
- Persentiles are the 99 values that divide the data series into 100 equal parts. Percentiles give the values at 1%, 2%...99% of the data.
- PK=K(n+1)/100
- Persentiles are the 99 values that divide the data series into 100 equal parts. Percentiles give the values at 1%, 2%...99% of the data.
- quartiles
- Position measures divide a data set into groups with the same number of individuals. To calculate the position measures it is necessary that the data are ordered from smallest to largest.
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- Mind Map on Position measurements, created by Laura Alfonso on 28/10/2022.
- Created by
- Laura Alfonso · Oct 2022
- Updated
- Oct 28, 2022
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