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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.
In probability theory and statistics, kurtosis (from Greek: κυρτός, kyrtos or kurtos, meaning "curved, arching") refers to the degree of “tailedness” in the probability distribution of a real-valued random variable. Similar to skewness, kurtosis provides insight into specific characteristics of a distribution.
8 lut 2022 · Kurtosis is a statistic that measures the extent to which a distribution contains outliers. It assesses the propensity of a distribution to have extreme values within its tails. There are three kinds of kurtosis: leptokurtic, platykurtic, and mesokurtic.
31 lip 2023 · Kurtosis is a statistical measure used to describe the degree to which scores cluster in the tails or the peak of a frequency distribution. The peak is the tallest part of the distribution, and the tails are the ends of the distribution.
31 lip 2024 · Kurtosis is a statistical measure used to describe the distribution of observed data around the mean. It is used to describe tail risk found in certain investments.
Kurtosis is a statistical measure that describes the shape of a probability distribution by quantifying its tailedness. It indicates whether the distribution is thin or broad and can be used as an indicator of normality.
Kurtosis is a statistical measure that describes the shape of a distribution's tails in relation to its overall shape. It specifically indicates how heavy or light the tails are compared to a normal distribution.
