Raw moment
A raw moment is a statistical quantity formed from a specified power of observations measured relative to zero, typically by summing or averaging those powers.
Modern C
A raw moment is the average or aggregate power of observations measured relative to zero.
- How it is used
- Organizes repeated performance measurements into quantities used to compute sample statistics.
- How deep it goes
- Defines the first raw moments as counts and sums of powers, without developing conversion formulas for other statistics.
- Examples
- Uses a lopsided timing sample and repeated C timing loops to motivate collecting statistics.
- What you can do after
- Evaluate/understand how counts and sums of powers support statistics for repeated measurements.
Modern C, Third Edition
A raw moment is the sum of a specified power of each value in a sample.
- How it is used
- Summarizes repeated performance measurements for computing statistics such as the mean and skew.
- How deep it goes
- Defines the general sum and interprets its first three orders, but does not derive formulas for every statistic.
- Examples
- Uses zeroth, first, and second moments alongside repeatedly timed C loops.
- What you can do after
- Apply it to accumulate sums of powers from measurements for later statistical calculations.
Related concepts
- varianceproduces · Variance is the expected squared deviation of a random variable from its mean, measuring the spread of its distribution.
- skewproduces · Skewness is a measure of the direction and degree of asymmetry in a probability distribution or observed data around its center.
- standard deviationproduces · Standard deviation is the nonnegative square root of variance and measures the typical dispersion of values around their mean in the original units.
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