MEASURES UNIVARIATE

MEASURES UNIVARIATE

1. MEASURES OF CENTRAL TENDENCY

   • They are statistical measures that summarize several sets of values ​​in one value.
     • mean : Known as the arithmetic mean , this is the average of the sample data.
     • median: is the value of the variable that occupies the central position, when the data is ordered from smallest to largest or by magnitude.
     • mode: it is defined as the value of the variable that is repeated the most, in the bar graphs it corresponds to the one that is higher.

2. MEASURES OF DISPERSION

   • They are the ones that define the variation of the variable intended to determine in a single value the dispersion that a group of data has.
     • Variation range: is the difference between the highest value of the variable and the lowest value of the variable.
     • Variance: represents the variability of the sample with respect to its mean.
     • standard deviation: it is the same variance only that square root must be taken.
     • Coefficient of variation: it is calculated by dividing the standard deviation by the absolute value of the mean, it is better represented as a percentage.

3. MEASURES OF POSITION

   • are statistical indicators that summarize the data into one, or divide its distribution into certain intervals of the same size.
     • non-central position measures: they are the quantiles that make a series of divisions of equal magnitude in the ordered distribution of the data, determining the data that reflect higher, middle and lower values.
       • the quartile: divides the distribution into four equal parts, the lower values ​​of the distribution are below the first.
       • the quintile: divides the distribution into five parts, therefore there are four quintiles.
       • the decile: divides the data into ten equal parts.
       • the percentile: divides the distribution into one hundred equal parts.
   • the measures of central position are: MEAN , MEDIAN and MODE

4. MEDIDAS DE ASIMETRIA

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