bro.
learn statistics for your own benefit
2023-06-29 21:22
the way i understand it it doesn't matter if the team loses the first match and wins the second or the other way around so (79/100)*(21/100) should give you the answer, assuming there are no draws or that the draws count as "not winning"
2023-06-29 21:25
in next two games that are 4 scenarios: win win, lose lose, win lose, lose win. The two scenarios you want are the win lose and lose win. P to win lose: 79/100 * 21/100; P to lose win: 21/100 * 79/100.
P you want: P to win lose + to lose win = 2 * 79/100 * 21/100 = 0.3318
2023-06-29 21:43
Bard:
P (win one game, lose one game) + P (lose one game, win one game)
= 2 * (0.79) * (0.21)
= 0.3318
2023-06-29 21:45
2 matches, one of which team should win with the probability of 0,79, and second one it should not win with the probability of 0.21, so total probability is 0.79*0.21 = 0.1659 or 16.59%
2023-06-29 21:44
It's NOT 79/100 * 20/101 + 21/100*79/101
it's 79/100 * 21/100 + 21/100*79/100 = 2*79/100 * 21/100
not sure why you added/removed 1 to the numbers
2023-06-29 21:48
I'm a bit rusty on statistics, but isn't it just the binomial distribution?
probability = binom(n,k)*p^k*(1-p)^(n-k),
where binom(n,k) = n!/(k!(n-k)!), p = 79/100 is the probability of winning an individual match, n = 3 is the sample size, and k = 1 is the amount of successes. So I got probability = 0.104517.
2023-06-29 21:49
Look the answer should be 2 * 79/100 * 21/100 = 0.3318. However if for some reason you're supposed to update the probabilities(bayesianism is cancer btw) then it would be
Scenario 1
79/100--> New prob of Winning = 80/101 --> New prob of losing = 101/101 - 80/101 = 21/101
79/100 * 21/101 = 0.16426
Scenario 2
21/100 --> New prob of losing= 22/101 -> New prob of winning = 101/101 - 22/101 = 79/101
21/100 * 79/101 = 0.16426
Final probability = 0.32852
2023-06-29 22:18
I feel sad that simple didnt reply to you
2023-06-29 22:44