Asymmetry Measures

Asymmetry Measures

1. Classification

   • Allows you to identify if the data is uniformly distributed around the central point

2. Features

   • The most common values ​​of the distribution are smaller, the symmetry is positive
   • the values ​​of the variable are more frequent, that is, the higher ones and the distribution presents a tail to the left and is negative

3. Parameters

   • To measure the asymmetry of a distribution, different coefficients are used in which the so-called asymmetry coefficient can be obtained
   • When the most common values ​​of the N distribution are smaller, the skewness is positive.

4. aiming measurements

   • They are the ones that analyze if a frequency distribution is more pointed or less when comparing this normal distribution, that is, with the same measure and variance.

5. parameters

   • is defined for variable X - Y = X = 8
   • g2 (X) = metocortic distribution
   • Yes g 28 (x) porleptic distribution

6. Parameters

   • Platicortica
   • Leptocurtica
   • Mrsocurtica platicortica