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8 Kommentare
Data is from possibly-wrong [here](https://github.com/possibly-wrong/skittles/tree/master) and [The Skittle Maths by Clare Wallace](https://www.clarewallace.co.uk/skittles) was on the most recent [A problem Squared Podcast](https://www.patreon.com/posts/130-sly-skittles-152484396)
I took Clare Wallace’s spreadsheet and used python and mathplotlib to graph all the bags she has counted. [Code is here](https://gist.github.com/cavedave/779193b08673c735f2f0a9e048e0f79f)
[https://possiblywrong.wordpress.com/2019/04/06/follow-up-i-found-two-identical-packs-of-skittles-among-468-packs-with-a-total-of-27740-skittles](https://possiblywrong.wordpress.com/2019/04/06/follow-up-i-found-two-identical-packs-of-skittles-among-468-packs-with-a-total-of-27740-skittles)
You could graph summary values like
Per-Color Totals
Color Total Mean/bag Median Std Dev Min Max
Orange 1,411 3.37 3.0 1.59 0 9
Red 1,386 3.31 3.0 1.78 0 10
Purple 1,392 3.32 3.0 1.60 0 8
Green 1,375 3.28 3.0 1.59 0 8
Yellow 1,322 3.16 3.0 1.66 0 8
Per-Color Totals Big bags
Color Total Mean/pack Median Std Dev Min Max
Yellow (Lemon) 5,663 12.15 12.0 3.24 2 24
Purple (Grape) 5,648 12.12 12.0 3.36 3 24
Red (Strawberry) 5,559 11.93 12.0 3.23 3 22
Orange 5,483 11.77 12.0 3.21 2 22
Green (Apple) 5,269 11.31 11.0 3.21 2 22
but I didn’t
I’m glad someone out there is focusing on answering the big questions.
You should sue them for false marketing!
I’m more surprised that the number of skittles is different from pack to pack. From 15 to 18… 20% more product in some than others is an unacceptable variance.
Someone has done the math and they sold so many packs that it’s impossible for them to not have made two identical distributions
on an atomic scale, each bag is diffferent.
So if I get a bonus skittle, it’s pretty sure to be yellow?
This is exactly the content I’m following this sub for.