Mindmap
Asymmetry measures

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Asymmetry measures
is a measure of form, of a distribution, that allows to identify and describe the way of how the data tend to gather (of according to the frequency with which they are within the distribution).
- allows to identify the characteristics of a distribution of data, without the need to generate the graph
Negative or Left Asymmetry
- occurs when in a distribution, the minority of the data is in the left side (of the middle).
- presents: an elongation or bias to the left
- the distribution of the data, has a longer tail on the left, than on the right
- It is also asymmetric, when the value of the skewed mean is: less than the median and this median value (at its time) is less than the median
- presents: an elongation or bias to the left
- occurs when in a distribution, the minority of the data is in the left side (of the middle).
Positive or Right Asymmetry
- occurs when, in a distribution, the minority of the data is in the part right of the arithmetic mean
- has an elongation or bias to the right
- the distribution of the data, has a longer tail to the right, that on the left
- Also featured when the mean value arithmetic is: greater than median and this value of the median (in turn), is greater that fashion
- has an elongation or bias to the right
- occurs when, in a distribution, the minority of the data is in the part right of the arithmetic mean
Symmetric
- occurs when in a distribution, distribute (approximately) the same amount of data, both sides of the arithmetic mean
- is represented by a curve normal (bell-shaped), called Gaussian bell or also Laplace
- does not have elongation or bias
- a distribution is symmetric, when its arithmetic mean, its median and its fashion are the same.
- occurs when in a distribution, distribute (approximately) the same amount of data, both sides of the arithmetic mean
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- Mindmap am Asymmetry measures, erstellt von Yeishell Benavides am 14/10/2022.
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- Yeishell Benavides
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Mehr zu Distribution Shape, Skewness and Kurtosis


