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Position Measurements

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Position Measurements

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Position Measurements

  1. meaning

    • Position measures are indicators statistics
      • It allows us to summarize the data into one, or divide its distribution in intervals of the same size.
  2. characteristic

    • They correspond to all the observations of the series, otherwise it would not be a distribution feature
    • They must be defined rigorously
      • willing to various interpretations
    • should not have a character math too much indeterminate
    • They must be subsumable algebraic calculation
      • Quick
        • easy
  3. Purpose

    • It is summed up in a single number position of the data distribution.
    • Determine
      • submit a set of data
    • synthesize
      • Data
  4. Types of measures position

    • Percentiles
      • It is one of the so-called measures of non-central position (quartiles, deciles, quintiles, percentiles, etc.) can be described as a form of comparison of results, which is why it is a widely used concept in fields such as statistics or data analysis fields.
        • The percentile is a number from 0 to 100. which is related to the percentage, but it is not the percentage itself.
          • Divide the set by 100 equal parts
            • Divide the distribution into 100 parts, each containing 1% of the observations
    • quartiles
      • Positional measures that divide the frequency distribution.
        • in four parts same.
          • Designated with the sign Qa, Q1, Q2, and Q3 determine the values ​​corresponding to 25%, 50% and 75% of the data, Q2 coincides with the median.
            • How are the quartiless.
              • a. We sort the data smallest to largest
              • b. We look for the place it occupies each quartile by expression.
    • Deciles
      • They are measures of position that divide the frequency distribution in ten equal parts, They range from number 1 to number 9. deciles are designated by the letters Da.
        • Calculations of deciles D1, D2, D3.......D9
          • Divide the distribution into 100 parts in such a way that each of they will contain 10%

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  • Position Measurements
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Descrição
Noribeth Sepúlveda
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  • Criado por Noribeth Sepulveda · 26 mar 2022
  • Copiado por daibelis hernandez · 13 out 2022
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