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Univariate measures. Statistics

lorena idarraga Spanish

Univariate measures. Statistics

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Univariate measures. Statistics

  1. They are classified in:

    • Measures of central tendency.
    • Measures of position.
    • Measures of dispersion.
    • Measures of asymmetry and pointing.
  2. Measures of position

    • Position measures are divided into:
      • Quartiles
        • Measures that divide a data set into 4 equal parts. These are three values Q1, Q2, Q3 called the first, second and third quartiles, respectively.
          • The first quartile (Q1) is the value obtained for n/4, the second quartile (Q2) is the value obtained for 2n/4 and the third quartile (Q3) is the value obtained for 3n/4
            • Formula
            • Meaning of the variables:
      • Deciles
        • Measures that divide a data set into 10 equal parts. These are nine values D1, D2, ..., D8, D9 called first, second, ..., eighth and ninth decile, respectively.
          • The first decile (D1) is the value obtained for n/10, the second decile (D2) is the value obtained for 2n/10 and so on until the ninth.
            • Formula
            • Meaning of the variables:
      • Percentiles
        • Divide a data series into 100 equal parts. The percentiles are 99 and range from P1, P2, P3,..., P98, P99.
          • Formula
          • Meaning of the variables:
    • The position measurements allow conclusions to be drawn, but before calculating them, they must be organized from lowest to highest and allow us to give percentage conclusions.

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  • Univariate measures. Statistics
  • Univariate measures. Statistics
  • Univariate measures. Statistics
  • Univariate measures. Statistics
  • Univariate measures. Statistics
  • Univariate measures. Statistics

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Mind Map on Univariate measures. Statistics, created by lorena idarraga on 27/10/2022.
Created by
lorena idarraga · Oct 2022
Updated
Oct 27, 2022
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