Relative standard deviation
Relative standard deviation is the standard deviation divided by the mean, expressing dispersion relative to the mean.
Modern C
Relative standard deviation is the standard deviation divided by the mean, expressing dispersion relative to the average.
- How it is used
- Uses relative standard deviation to judge variation in repeated run-time measurements.
- How deep it goes
- Defines the ratio, works a numerical case, and gives a qualitative low-percentage criterion without a fixed cutoff.
- Examples
- Calculates 0.31 / 0.6 ≈ 52% and shows C output reporting mean run time with a relative-deviation percentage.
- What you can do after
- Diagnose/debug with it by spotting run-time samples whose variation is substantial relative to their mean.
Modern C, Third Edition
Relative standard deviation is the standard deviation divided by the mean, expressing dispersion relative to the measured magnitude.
- How it is used
- Assesses whether repeated run-time measurements vary little relative to their mean.
- How deep it goes
- Defines the ratio, works through a numerical sample, and gives a low-percentage rule without a precise cutoff.
- Examples
- Uses a 0.6-second mean with 0.31-second standard deviation, plus C output formatted as a percentage.
- What you can do after
- Evaluate/understand whether a run-time sample has acceptably low relative variation, without treating the metric as a diagnosis of its cause.
Read how Modern C, Third Edition explains relative standard deviation →
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