STATISCAL MEASURES

STATISCAL MEASURES

1. Measures of dispersion

   • They indicate how far the data is from the arithmetic mean.
     • Variance coefficient
       • Determines the ratio between the standard deviation and the mean.
     • Typical deviation
       • The standard deviation is the square root of the mean of the squares of the deviation scores.

2. Range

   • Indicates the dispersion between the extreme values of a variable

3. Variance

   • It is used to measure the dispersion of the values of a variable with respect to the measurement

4. Measures of central tendency

   • They are measures that aim to summarize in a single value to a set of values, some of these measures are:
     • Average
       • The sum of all data divided by the total amount of data.
     • Medium
       • It is the data that occupies the central position of all the data ordered by magnitude.
     • Fashion
       • This is the most frequently repeated variable.

5. The analysis of a characteristic or quality of the individual. These present exhaustive and mutually exclusive modalities.

   • Depending on the type of quality, the characteristics may be of type:
     • Qualitative characteristics: That is, if its modalities are not numerical. An example is the marital status.
     • Quantitative characteristics, if their modalities are numerical. An example, the number of members of a family.

6. position measurements

   • Measures of position are generally called quantiles and are classified into four groups: quartiles, quintiles, deciles, percentiles.
     • Deciles
       • Refers to each of the 10 values that divide a group of data into 10 equal parts.
         • The percentile is a measure of position used to find the value of the variable that is found in a given percentage in observations of a group.
           • With this formula.
             • k*n/10=1,2,3....8,9
               • k:decil number n:number demonstrates.
     • The Cuartiles
       • These are the three values of the variable that divides it into four equal parts, to calculate the value of one of the four quartiles the formula is used:
         • Qk=k(n/4)
           • Qk= cuartil number and n=Total distribution data.