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Asymmetry or aiming measurements
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Asymmetry or aiming measurements
Called measures of form since they allow compare the form it has in these graphic representations.
Asymmetry:
- It is such a measure of the form of a distribution that allows us to describe the data in that it tends to identify characteristics of the data distribution.
Asymmetry measurements:
- To measure the skewness of a distribution, different coefficients are used, in which the so-called skewness coefficient can be obtained.
- It is delayed by g1
- It is defined as central moment of order 3 and standard deviation cubed
Characteristics of asymmetry:
- 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.
Characteristics of aiming measurements:
- Measures
- Ungrouped data
- frequency tables
- Data grouped in intervals
- Types
- Leptokurtica
- Mesokurtica
- platykurtica
- Measures
main theme
Aiming measurements:
- It is denoted by :
- g2
- They are the ones that analyze if a frequency distribution is more or less pointed when comparing it as a normal distribution, that is, with the same measure and variance.
- It is defined for
- VariableX
- Y=X-B
- VariableX
- Parameters
- If g2 (X) the distribution is leptokurtic
- g2(X)=0
- The distribution is mesokurtic, that is, the same as the normal one.
- g2(X)<0
- The distribution is platykurtic, flatter than normal.
- It is denoted by :
Pointing:
- It is said measure of the degree of sharpness of a normal distribution, that is, it measures with a different relation to the distribution.
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- Mindmap am Asymmetry or aiming measurements, erstellt von mileidis sanabria dela rosa am 30/10/2022.
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- mileidis sanabria dela rosa
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Mehr zu Distribution Shape, Skewness and Kurtosis