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Coefficient Of Kurtosis Formula

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Coefficient Of Kurtosis Formula. Kurtosis is often measured and quoted in the form of excess kurtosis which is kurtosis relative to normal distribution. For a very large sample very high n the differences between and among n 1 n n 1 n 2 and n 3 are becoming negligible and the sample kurtosis formula approximately equals.

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Pearson s coefficient of skewness γ 1 β 1 kurtosis kurtosis refers to the degree of peakedness of a frequency curve. The kurtosis can also be computed as a4 the average value of z4 where zis the familiarz score z x x σ. The greater the value of beta 2 the more peaked or leptokurtic the curve.

β2 μ4 μ2.

The greater the value of beta 2 the more peaked or leptokurtic the curve. Pearson s coefficient of skewness γ 1 β 1 kurtosis kurtosis refers to the degree of peakedness of a frequency curve. The coefficient of kurtosis for normal distribution is 3 therefore excess kurtosis equals coefficient of kurtosis less 3. β2 μ4 μ2.

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