Relative Average Deviation - RAD

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Relative Average Deviation (RAD) is a statistical measure used to express the precision of data, calculated as the absolute deviation from the mean multiplied by 1000 for parts per thousand. The significance of RAD lies in its ability to indicate the variability of data relative to the mean, helping to assess consistency in experimental results. A lower RAD value suggests greater precision and reliability in the data, while a higher value indicates more variability. The formula's components relate to the coefficient of variation, emphasizing the relationship between deviation and mean. Understanding RAD is essential for interpreting experimental data effectively.
Soaring Crane
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I know that RAD is used to expression precision, and I know the formula for it:

Per mil RAD = (abs. deviation)/mean X (1000) for parts per thousand.

Once you find the relative average deviation--this number in ppt--what is the significance of it? What is it supposed to tell you about the data? What does this number represent?? :rolleyes:

This is probably an elementary topic, but I can't seem to grasp a concrete definition and how it applies to experimental data.

Thanks.
 
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The (abs. deviation)/mean part is similar to the concept of coefficient of variation. The (1000) ppt part is just rescaling (similar to expressing 0.1 as 10%).
 
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