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Manual Event (Session ID,DateTime,Event) = nh3fec005vrk1qp02de2c10ouv 20240712215456 /sc/communities/how-to-measure-the-distribution-of-variables/

How to measure the distribution of variables?

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Lan Yi
2020年6月29日
How to measure the distribution of variables?

How to measure the distribution of continuous variables?

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Anita Chan
2020年6月29日

Yes.

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Lan Yi
2020年6月29日

I see.

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Anita Chan
2020年6月29日

Usually, we look at two characteristics of the distribution of a continuous variable: central tendency and dispersion.

The most basic measure of variation is the range, which is the distance from the smallest to the largest value in a distribution. However, the range uses only two values in the data set, and these values may be unusually large or small. Compared to the range, the interquartile range (IQR) is affected less by the extreme values. It is the range of the middle 50% scores in a distribution: IQR= 75th percentile – 25th percentile.

The standard deviation is the average amount by which scores differ from the mean. The standard deviation is the square root of the variance, and it is a useful measure of variability when the distribution is normal or approximately normal. A small standard deviation coefficient indicates a small degree of variability (that is, scores are close together); larger standard deviation coefficients indicate large variability (that is, scores are far apart).

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