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Position measurements
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Position measurements
These are measures that account for a certain position within the distribution of data. Its purpose is: to summarize in a single number the position or location of the data distribution
- Ungrouped data
- Quartiles
- They are the three values of the variable of a distribution that divide it into four equal parts, that is, 25% and 75%.
- Deciles
- They represent a position that divides the data set into 10 equal parts grouping them at 10, 20, 30, ... and 90.
- Deciles
- They are the three values of the variable of a distribution that divide it into four equal parts, that is, 25% and 75%.
- Quintiles
- They represent a position that divides the data set into 5 equal parts grouping them into 20, 40, 60 and 80 percent, which are represented by K1, K2, K3, K4.
- Percentiles
- They are the calculation of a position which is used to determine the value of the data under which the percentage is found.
- Bibliographic references: Monroy. S.S. (2005). Descriptive statistics. Mexico, D.F., MX: National Polytechnic Institute. (pp56-79).
- They are the calculation of a position which is used to determine the value of the data under which the percentage is found.
- Percentiles
- They represent a position that divides the data set into 5 equal parts grouping them into 20, 40, 60 and 80 percent, which are represented by K1, K2, K3, K4.
- Quartiles
- Grouped data
- Quartiles
- They divide the data into 4 parts, this allows us to determine the dispersion and the central tendency of the data.
- Deciles
- It is calculated with its certain formulas.
- Deciles
- They divide the data into 4 parts, this allows us to determine the dispersion and the central tendency of the data.
- Quintiles
- They are grouped data that are obtained with a formula.
- Percentiles
- It is calculated with its certain formulas.
- Percentiles
- They are grouped data that are obtained with a formula.
- Quartiles
- Ungrouped data
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- Mind Map on Position measurements, created by Judith Cervantes vergel on 19/10/2022.
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- Judith Cervantes vergel
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