Therefore data elements with a high weight contribute more to the weighted mean than do elements with a low weight.
12.
Since only the " relative " weights are relevant, any weighted mean can be expressed using coefficients that sum to one.
13.
It is common in some markets not to use the actual last traded price but some sort of average / weighted mean.
14.
It can produce a weighted mean that has less variability than the arithmetic mean of a simple random sample of the population.
15.
It is calculated as the weighted mean of the frequencies present in the signal, determined using a Fourier transform, with their magnitudes as the weights:
16.
A measurement of both the dispersion measure and the rotation measure therefore yields the weighted mean of the magnetic field along the line of sight.
17.
When a weighted mean \ mu ^ * is used, the variance of the weighted sample is different from the variance of the unweighted sample.
18.
Besides, what that formula is doing is giving you the weighted mean, not the weighted median, so this is kind of all beside the point.
19.
The notion of weighted mean plays a role in descriptive statistics and also occurs in a more general form in several other areas of mathematics.
20.
While weighted means generally behave in a similar fashion to arithmetic means, they do have a few counterintuitive properties, as captured for instance in Simpson's paradox.
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