@Ted French 8th graders got the worst result out of all European countries that took the test. 12th grader also did very poorly compared to 20 years ago. This got the media all worked up. But when you listen to our retarded Ministre de l'Education, the results are no wonder
Well, things will only get worse with our upcoming president in the US. But I have to say I work with little kids every week (going in a few hours today), and when a 10-year old has to use his fingers to find $2+5$ or $3\times 4$, I know we're in big trouble.
@TedShifrin That is the part that confuses me. I did wrote 87/10.000 but it doesnt solve the question. Its just the win ratio not the probability to win one game.
@Rakso There's not enough info I think. Your observations may approximate the expected probability of winning a game, but it doesn't help derive a more concrete answer without more stuff.
he's trying to learn trigonometry, but i don't think he really understands, so today at lunch i gave him a mini-lesson on the unit circle, and how it related to right triangles
yeah I always greet with my timezone because I keep forgetting where are you all from. Maybe I should start just using greetings that don't reference time :P
@Brody The exact task translated to english is as follows: "Write an application called Play123Main that lays the solitaire 1-2-3 10.000 times and then calculates the probability (%) for the solitaire to win."
@Rakso: Basically the law of large numbers tells you that if you repeat an experiment a large number $N$ of times, if the probability of success is $p$, then you expect approximately $pN$ successes ...
@Rakso I think your repeated runs of the game would count as a "calculation". In that case, take your proportion $p$ (wins / total games) and then $(100\times p)$% is you probability.
@Rakso I don't know what the problem is supposed to entail exactly. Do they want your program to calculate the exact probability of winning under certain conditions? Or just get a point estimate from repeated simulations?
@Rakso: So it sounds like they want you to tally the winning percentage for large numbers of games (say 8000-10.000) and look at those percentages and draw some conclusions. Not just the one 10.000 result.
@TedShifrin I would have to study both programs at once. I am going to try it after new years since i applied for all courses for both Math and CS, will be challenging but interesting
@TedShifrin im mostly interested in Math over CS since i dont understand it as well as CS. I have worked as a programmer for 1 year now before starting my university studied.
I'm no expert, @Brody. I've never taken stat, and I did finally teach probability just before I retired. But this is what the law of large numbers is about ...
Something I learned from an exercise in Spivak (but saw nowhere else), @Semiclassic: If $a_1,\dots,a_n\in\Bbb R$, are data points, what are the minimizing points for $f(x)=\sum (x-a_i)^2$ and $g(x)=\sum |x-a_i|$?
Hello, perhaps a silly question, but the following relation R on the set of integers Z, R = {(a, b) ∈ Z^2 ∶ a^2 = b^2 }, this is simply {(1,1),(4,4),(9,9),(16,16)....}, right?
It's not that surprising, if I'm honest. The initial version of it was quickly seen to be trivial, and I left it up to anyone else to provide a precise interesting version
@Brody It's a fun exercise trying to minimize the function $x^x$, using only the fact that $e^x\ge x+1$ for all $x$ (and with equality on when $x=0$) and without calculus
I was reading a research paper over the summer, and formally it made sense; it used a Legendre transform to give the leading term of a saddle-point integral. So far, so good
Honestly, I don't think we were taught how to minimize functions. We were just given the general vertex coordinates, and I recognized it can be obtained by easy calculus
So i'm reading about the martingale betting system (keep doubling your bet until you win, and you will always end up winning your initial bet). I understand the logic that previous coin flips (or roulette spins) have no bearing on future ones. And I understand that eventually one giant string of losses will happen and lose the rest. And logically, it seems that no betting system should ever be able to beat the law of expected returns.
However, the one caveat everyone writes about with this theory, is that it does seem to work if you had an infinite bankroll. And logically it seems true. You would never lose. If this is true, how can the amount of money somebody has possibly break basic math theory?
Hmm, guess that's a step toward formalizing extrema. They never taught me anything besides equating the first derivative to zero and cranking out a solution
Not that it's nontrivial. Just glad to see something concrete
@MikeMiller It is. But I had it on my shelf unfinished for a few years and I recently re-noticed it, and I was about to travel for Thanksgiving so I thought I'd bring a book