ASYMMETRY AND POINTING MEASURES

ASYMMETRY AND POINTING MEASURES

1. TARGETING MEASURES

   • is said measure of the degree of sharpness of a normal distribution, that is, it measures with a different relation to the distribution.
     • They are the ones that analyze if a frequency distribution is more pointed or less when comparing it as a normal distribution, that is, with the same measure and variance.
       • is denoted by
         • g2
       • is defined for
         • variable x
         • Y= x- B
       • parameters
         • si g2 (x) la distribucion es leptocurtica
         • g2(x) =0 la distribucion es mesocurtica igual que la normal
         • g2 (x) = < 0 la distribucion es placurtica mas achatada que la normal
       • features
         • types
           • leptokurtica
           • mesokurtica
           • platykurtica
         • measures
           • ungrouped data
           • frequency tables
           • interval grouped data

2. ASYMMETRY MEASURES

   • it is this measure of the form of a distribution n that allows us to describe the data in which it tends to identify characteristics of the data distribution
     • To measure the asymmetry of a distribution, different coefficients are used, in which the so-called coefficient of asymmetry can be obtained.
     • it is denoted by g1
     • is defined as central moment of order 3 and standard deviation cubed
     • features
       • the values ​​of the variables are more frequent, that is, the higher ones and if the distribution presents a tail to the left, this asymmetry is negative
       • when the most common values ​​of the distribution are smaller, this asymmetry is positive