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Empirically, we regard the victory and defeat as a simple comparison of chess strength, without considering the accidental factor, then B has a 0% winning rate, and A wins all.
Mathematically, we regard victory and defeat as a simple probability event, and believe that people have two states, victory meets defeat, defeat meets victory, and the same state meets draw. Then A has a 70%*60%=42% win rate, B has a 40%*30%=12% win rate, and the remaining probability corresponds to a draw, because a draw is possible.
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B Khan, this cannot be calculated by simple probability.
Because. A's win rate is 70% because he is better than 70% of people.
B has a 40% chance of winning because he is better than 40% of people.
Then A is very likely to be stronger than B, so B can't keep a 40% win rate in front of A.
In daily life, if two of these people meet, A's win rate is close to 100%.
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Quite simply, the probability of A winning is.
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A wins and B loses: 42%, B wins and A loses 12%. If a draw is ignored, the probability of A winning is 42% (42%+12%)=
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A wins: A wins and B loses.
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The probability of a draw is:
The probability of A winning is.
The probability of B winning is.
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Do not put back the sampling spike sail = continuous sampling.
1. P=(C42*C42+C43*C41+C44) Two or more red balls in C84: two red and two white, three red and one white brigade belt, and four red.
2. P=(C32*C31+C33) C63 Two or more red balls: two red, one white, three red.
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Just enumerate all of them.
Make use of classical generalizations.
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1) [40, 45) = people, [45, 50) = people.
Fashionable family) [40, 45) = 150 * 40% = 60 people, [45, 50) = 100 * 30% = 30 people.
2) Stratified sampling: the ratio of fashion families in the two groups is 2:1, so 6 people are selected from [0,45) and 3 people are selected from [45,50), so the distribution is listed as x=0 p=c(3,6) c(3,9)=5 21,x=1,p=c(1,3)c(2,6) c(3,9)=15 28,x=2,p=c(2,3)c(1,6) c(3,9)=3 14,x=3,p=c(3,3) c(3,9)=1 84, So e(x)=0*5 21+1*15 28+2*3 14+3*1 84=1
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Another victim of 100 prestigious schools...
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Suppose the same dish can only be drawn once. In this case, the sample space is limited, so the answers to each question are different.
2) 40 198 = (Note: two elements are missing from the sample space) 3) 157 198 =793
4)160/200 159/199 158/198 157/197 40/196 = 160p4 * 40/200p5 = .0830
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This is not too good.,One because it's tangled and because it's a little difficult.,I don't understand this.。
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If it is randomly proportional, it is 1 4 each.
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The probability of getting the white ball for the first time is c(3,1) c(5,1)=3 5The probability of getting the white ball for the second time is c(2,1) c(4,1)=2 4=1 2, so the probability of getting the white ball both times is.
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The first probability is p=3 5
The second probability is p=2 4
Twice probability p=3 5*2 4=6 20=3 10 (the probability of two independent events is multiplied twice).
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Take the ball twice, exactly the probability of getting the white ball.
p=(3/5)*(2/4)=3/10
This is the easiest calculation problem in the second year of high school, and you can't do it.
I don't know what your problem is, how to solve it?
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