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Minor fix for PR

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Ozzie Gooen 2022-04-21 15:54:28 -04:00
parent 6f77b12618
commit 1b56662483
1 changed files with 6 additions and 9 deletions
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packages/website/docs/Discussions/Bugs.md → packages/website/docs/Discussions/Bugs.mdx
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@ -11,13 +11,12 @@ Below are some specific examples to watch for. We'll work on improving these ove
## Mixtures of distributions with very different means
If you take the pointwise mixture of two distributions with very different means, then the value of that gets fairly warped.
If you take the pointwise mixture of two distributions with very different means, then the value of that gets fairly warped.
In the following case, the mean of the mixture should be equal to the sum of the means of the parts. These are shown as the first two displayed variables. These variables diverge as the underlying distributions change.
<SquiggleEditor
initialSquiggleString={
`dist1 = {value: normal(1,1), weight: 1}
initialSquiggleString={`dist1 = {value: normal(1,1), weight: 1}
dist2 = {value: normal(100000000000,1), weight: 1}
totalWeight = dist1.weight + dist2.weight
distMixture = mixture(dist1.value, dist2.value, [dist1.weight, dist2.weight])
@ -30,10 +29,8 @@ separateMeansCombined = (mean(dist1.value) * (dist1.weight) + mean(dist2.value)
The means of sample set distributions can vary dramatically, especially as the numbers get high.
<SquiggleEditor
initialSquiggleString={
`symbolicDist = 5 to 50333333
symbolicSetDist = toSampleSet(symbolicDist)
[mean(symbolicDist), mean(symbolicSetDist), symbolicDist, symbolicSetDist]`}
/>
initialSquiggleString={`symbolicDist = 5 to 50333333
sampleSetDist = toSampleSet(symbolicDist)
[mean(symbolicDist), mean(sampleSetDist), symbolicDist, sampleSetDist]`}
/>