Categories: All - distribution

by Andrea Carolina Ramirez 1 year ago

96

MEASUREMENTS OF ASYMMETRY AND AIMING

The text discusses the concepts of asymmetry and aiming in statistical distributions, focusing on how different measures can describe the shape and characteristics of data distributions.

MEASUREMENTS OF ASYMMETRY AND AIMING

MEASUREMENTS OF ASYMMETRY AND AIMING

characteristics of asymmetry

When the most common vallues of the distribution has a tail to the left, his asymmetry is negative.
The values of the variables are more frenquent, that is, they are higher, and if the distributions has a tail to the left, this asymmetry is negative.

Asymmetry measures

It is defined as a central moment of order 3 and standard deviation cubed.
It is denoted by g1
To measure the asymmetry of a distribution, diferent coeficients are used, in which the so- called asymmetry coeficient can be obtained.

ASYMMETRY

It is this measuere of the shape of a distribution n that allows us to describe the data in which it tends to identify characteristics of the data distribution.

CHARACTERISTICS OF AIMING MEASUREMENTS

Guys
plasticurtica
mesocutica
leptocurtica
Measure
data grouped into intervals
frequency tables
Ungrouped data

REFERENCES

Subtopic

AIMING MEASUREMENT

Parameters
g2(x)=0

g2 (x)<0

the distribution is platykurtic, flatter than normal

distribution is mesokurtic, that is, the same as the

if g2 (x) the distribution is leptokurtic
is defined for
Y= x-B
variable x
Thet are those that analyze whether a frequency distribution is more pointed or less when comparing it as normal distribution, thah is, with the same measurement and variance.
it is denoted by:
g2

Targeting

It is said measure of the degree of acuty of a normal distribuition, that is, measures with a diferent relationship to the distribution.

Called shape measures since they allow us to compare the shape of these graphic representations.