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Heavier Tails

Definition

Heavier tails refer to the phenomenon where the probability of extreme events occurring in a distribution is higher than what would be expected in a normal distribution.

Related terms

Skewness: Skewness measures the asymmetry of a distribution. A positively skewed distribution has a longer tail on the right side, while a negatively skewed distribution has a longer tail on the left side.

Kurtosis: Kurtosis measures how peaked or flat a distribution is compared to the normal distribution. Higher kurtosis indicates heavier tails and more extreme values.

Outliers: Outliers are data points that significantly deviate from other observations in a dataset. They can contribute to heavier tails in distributions.

"Heavier Tails" appears in:

Study guides (1)

  • AP Statistics - 7.2 Constructing a Confidence Interval for a Population Mean

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About Us

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Resources

Cram Mode

AP Score Calculators

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Glossary

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AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.