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Co-authored-by: jose-donato <zmcdonato@gmail.com>
Co-authored-by: jose-donato <43375532+jose-donato@users.noreply.github.com>
Co-authored-by: andrewkenreich <andrew.kenreich@gmail.com>
2023-10-30 21:01:29 +00:00

1.2 KiB
Vendored

title, description, keywords
title description keywords
skew Learn about the concept of skewness as a measure of asymmetry, its relevance in symmetric distribution and normal distribution, and the 'skew' command along with its parameters and usage.
skewness
symmetric distribution
asymmetry
normal distribution
distortion
skew command
command parameters

import HeadTitle from '@site/src/components/General/HeadTitle.tsx';

Skewness is a measure of asymmetry or distortion of symmetric distribution. It measures the deviation of the given distribution of a random variable from a symmetric distribution, such as normal distribution. A normal distribution is without any skewness, as it is symmetrical on both sides. Hence, a curve is regarded as skewed if it is shifted towards the right or the left.

Usage

skew [-w N_WINDOW]

Parameters

Name Description Default Optional Choices
n_window window length 14 True range(5, 100)

skew