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#MATHEMATICS/STATISTICS
sleepy-bebby · 10 months
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tumbler-polls · 3 months
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chrisrin · 10 months
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because i'm SO curious...
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carlyraejepsans · 5 months
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actually let's shoot this one into the void, does anyone know if there's a way to simplify the birthday paradox for large groups of people? i mean, calculating the probability that at least 2 people share a birthday in a group of 10 is still feasible by hand/manual calculator, but with 20 the numbers are so huge they're hard to work with.
I'm trying to figure out how many people you'd need for the chance of someone sharing a birthday to go above 50%
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greetings-inferiors · 7 months
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This is some of the worst rain I’ve ever seen, England never fails to surprise me
Update: just found out it’s world statistics day, no wonder it’s pouring it down, the world itself is crying.
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savrenim · 9 months
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so I know I talk a lot about 'mathematician Gojo' but has anyone considered how fucking HILARIOUS 'mathematician Suguru' would actually be
ID under cut:
in the Project Runway 'Blood Orange' meme format:
Panel 1: screenshot from the show Jujutsu Kaisen, in which character Gojo Satoru says, "I get what you call a negative natural number"
Panels 2-4: Geto Suguru, reacting as if in a confessional, "'Negative natural number', he's so pretentious. Shut up, it's a fucking integer. 'Negative natural number'."
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4gravitons · 20 days
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Getting It Right vs Getting It Done
With all the hype around machine learning, I occasionally get asked if it could be used to make predictions for particle colliders, like the LHC. Physicists do use machine learning these days, to be clear. There are tricks and heuristics, ways to quickly classify different particle collisions and speed up computation. But if you’re imagining something that replaces particle physics calculations…
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art-of-mathematics · 1 year
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(Lorenz) attractors and probability intensity
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... I do not know what I did here...
It was inspired by another note I scribbled down some months ago...
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(I did (and still do) not really know what I did here either... )
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shitacademicswrite · 1 year
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(Source: Rupam Bhattacharyya at the Indian Statistical Institute, Facebook)
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greenouillee · 2 months
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heartbreaking: the worst subject you know just made a great proof
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the-cloudwatcher · 11 months
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Wonderful stormy weather outside, and the tired satisfaction of having successfully studied inside. Running very late with my stats studies but the exam is open book and i am armed with notes!! i focused mostly on getting my cheat sheets right today.
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highlyentropicmind · 3 months
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Has anyone made a statistical analysis on tumblr's reblog maps?
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I've noticed something interesting, but first I need to establish a few definitions
Flower: If a node is connected to at least 6 other nodes it is a "flower" (we could also use "hub" but I like my math whimsy)
Why six? Because hexagons are mathematically interesting
Distance between flowers: The distance between flowers refers to the number of nodes you have to pass through before reaching another flower. Those nodes can be flowers themselves, or not
Okay, now I can explain my observation:
It seems that most of the time the distance between flowers is exactly 2. To be more formal about this:
My conjecture is that the distance between flowers follows a distribution that peaks at 2
To test this we would need to download data from the reblogs of a bunch of posts, make a code that detects flowers, count the nodes between them, and put them in a histogram
If my conjecture is correct that could tell us something about how information flows in human societies. This could be useful to study misinformation, and the effects of propaganda
This could be cool
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the-greatest-fool · 5 months
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are you supposed to have “intro” posts?
i am some guy who i guess you can call gf (or uh jeff? lol) based on my randomly chosen username. i was a philosophy and law nerd who ended up studying mathy things in uni instead and now my life is in ruins.
follow for reblogged memes (i dont know how to use tumblr. are you allowed to reblog people’s stuff or is that a faux pas. can someone teach me how to use tumblr? also this parenthetical went way too long) and my struggles to keep myself going, tagged #my life
i guess you’re supposed to name things you like. in no particular order, i like(or liked at some pt):
things to think about: education, academic integrity, misinformation, economic policy, global security, international trade and development, socially constructed identities
movies: lots of oscar noms, knives out 1 + 2, a24 films, various asian american film projects i support because they are my brethren
tv: house md (i liked it before it was cool and that makes me cool yadayada), community, bojack horseman. saw spto recently too.
anime: not a frequent viewer but have deep nostalgia for detective conan/magic kaito, liked haikyuu when i binged it during the panini
books: to be honest i mostly read books based on new yorker reviews. but i love essay collections, memoirs, and trendy novels lol.
academic interests: economics, law, statistics, probability theory, philosophy, political theory
memes: spiciest
art: pretentious
other: used to play genshin. this post is too long now. good night.
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kiraoho · 7 months
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Translation: Rolled a d20 5000 times. Unfortunately, I can't attach neither the full statistical analysis nor the histogram.
1 -- 290 times 2 -- 208 times 3 -- 166 times 4 -- 196 times 5 -- 204 times 6 -- 204 times 7 -- 207 times 8 -- 330 times 9 -- 282 times 10 -- 328 times 11 -- 312 times 12 -- 305 times 13 -- 296 times 14 -- 164 times 15 -- 211 times 16 -- 164 times 17 -- 206 times 18 -- 187 times 19 -- 300 times 20 -- 336 times.
The chance for each side to roll should be 1/20 or 5%, 5000 rolls should yield 5000 * 0.05 = 250 times. Now look at the results: the spread is 164 to 336. Sides 3, 4, 16 and 18 are twice less likely (!!!) then 8, 10, 19 and 20.
Chi-squared test yields 301.09 with 30.14 as the maximum acceptable, p-value is 1,2*10^-50: the heat death of the universe is more likely then this distribution happening randomly.
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greetings-inferiors · 4 months
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Statistical analysis makes me want to pull my hair out, you'll be freaking out about weird data sets for half an hour before realising the standard deviation is EIGHT TIMES WHAT IT SHOULD BE, and you should probably get rid of the outliers.
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heardatmedschool · 1 year
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“Well, if there’s a lot of scales or algorithms for the same thing, we know that none of them is that good.”
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