Moment (mathematics) | Statistical ratios | Statistical deviation and dispersion

Standardized moment

In probability theory and statistics, a standardized moment of a probability distribution is a moment (often a higher degree central moment) that is normalized, typically by a power of the standard deviation, rendering the moment scale invariant. The shape of different probability distributions can be compared using standardized moments. (Wikipedia).

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From playlist Introduction to Linear Equations in One Variable

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From playlist Unit 1: Descriptive Statistics

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From playlist Expressions and Equations

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From playlist Unit Conversions: Converting Between Standard and Metric Units

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From playlist Unit Conversions: American or Standard Units

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From playlist Unit Conversions: Converting Between Standard and Metric Units

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From playlist Quantitative Analysis (FRM Topic 2)

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From playlist Statistics: Distributions

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From playlist Quantitative Analysis (FRM Topic 2)

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From playlist Quantum Physics by Parth G

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FRM: Distribution moments (mean, variance, skew, kurtosis)

Here is the spreadsheet I used @ http://db.tt/bziK312h. The four central moments of a distribution are mean (1st), variance, skew and kurtosis. They tell us quickly about the personality of the distribution. For more financial risk videos, visit our website! http://www.bionicturtle.com.

From playlist Operational Risk Analytics

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This video define an expression and an equation. Then the different tasks performed on expressions and equations is discussed. http://mathispower4u.com

From playlist Introduction to Linear Equations in One Variable (Common Core Using Construct/Deconstruct Method)

Related pages

Variance | Random variable | Coefficient of variation | Expected value | Moment (mathematics) | Normalization (statistics) | Probability theory | Skewness | Kurtosis | Statistics | Central moment | Probability distribution | Shape of a probability distribution | Standard deviation | Cumulant | Homogeneous function