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Skewness

statistics

data science

365 data science

datascience

365datascience

365 datascience

skewness

measures of asymmetry

kurtosis

skew

descriptive statistics

statistics tutorial

skewness and kurtosis

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Автор: 365 Data Science

Загружено: 11 авг. 2017 г.

Просмотров: 25 685 просмотров

Описание:

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The most commonly used tool to measure asymmetry is skewness. Skewness indicates whether the observations in a data set are concentrated on one side.

Why is skewness important? Skewness tells us a lot about where the data is situated. The mean, median and mode should be used together to get a good understanding of the dataset. Measures of asymmetry like skewness are the link between central tendency measures and probability theory, which ultimately allows us to get a more complete understanding of the data we are working with.

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Skewness

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