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21 lut 2022 · Skewness adalah ukuran simetri atau asimetri dalam distribusi data. Suatu distribusi atau kumpulan data dapat dikatakan simetri apabila luas daerah kiri dan kanan adalah sama...
Pada artikel ini, kita akan membahas dua konsep penting dalam statistik deskriptif - Skewness dan Kurtosis. Di akhir artikel, Anda akan mendapatkan jawaban atas pertanyaan seperti apa itu skewness & kurtosis, skewness kanan / kiri, bagaimana skewness & kurtosis diukur, bagaimana kegunaannya, dll.
6 gru 2023 · Skewness and kurtosis, often overlooked in Exploratory Data Analysis, reveal significant insights about the nature of distributions. Skewness hints at data tilt, whether leaning left or right, revealing its asymmetry (if any). Positive skew means a tail stretching right, while negative skew veers in the opposite direction.
27 cze 2022 · Kurtosis is a measure of the tailedness of a distribution. Tailedness is how often outliers occur. Excess kurtosis is the tailedness of a distribution relative to a normal distribution. Distributions with medium kurtosis (medium tails) are mesokurtic. Distributions with low kurtosis (thin tails) are platykurtic.
9 lis 2020 · What is Kurtosis and how do we capture it? Think of punching or pulling the normal distribution curve from the top, what impact will it have on the shape of the distribution? Let’s visualize:
10 maj 2022 · Skewness is a measure of the asymmetry of a distribution. A distribution is asymmetrical when its left and right side are not mirror images. A distribution can have right (or positive), left (or negative), or zero skewness.
20 wrz 2024 · Skewness between -0.5 and 0.5 is symmetrical. Kurtosis determines whether the data exhibits a heavy-tailed or light-tailed distribution. Data sets with high kurtosis have heavy tails and more outliers, while data sets with low kurtosis tend to have light tails and fewer outliers.
