B Where Did I Go Wrong in Calculating the Probability?

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The discussion centers on calculating the probability of generating a code with exactly 2 letters the same or 2 digits the same, but not both. The initial calculations mistakenly included probabilities for at least 2 letters being the same instead of exactly 2, leading to an incorrect total probability of 0.210 instead of the correct 0.197. Participants clarified that the exclusive or (xor) condition should be applied, requiring the adjustment of the formula to account for the overlap of both conditions. A more effective approach suggested calculating the number of valid arrangements directly rather than using probabilities for each scenario. Ultimately, the correct method leads to the expected answer, highlighting the importance of precise probability calculations in combinatorial problems.
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A code is generated consisting of 3 letters followed by 2 digits. Each of the 3 letters generated is equally likely to be any of the 26 letters of the alphabet. Each of the 2 digits generated is equally likely to be any of the nine digits 1-9. Find the probability that a randomly chosen code has exactly 2 letters the same or 2 digits the same, but not both.

Attempted solution:

P(exactly 2 digits same) = (263*9)/(263*92) = 1/9
P(exactly 2 letters same) = (26*25*3*92)/(263*92) = 75/676
P(2 digits same AND 2 letters same) = (26*25*3*9)/(263*92) = 25/2028
Required probability = 1/9 + 75/676 - 25/2028 = 0.210

But the correct answer is 0.197. Can I ask where did I go wrong? I can't figure it out...
Thanks!
 
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little neutrino said:
A code is generated consisting of 3 letters followed by 2 digits. Each of the 3 letters generated is equally likely to be any of the 26 letters of the alphabet. Each of the 2 digits generated is equally likely to be any of the nine digits 1-9. Find the probability that a randomly chosen code has exactly 2 letters the same or 2 digits the same, but not both.

Attempted solution:

P(exactly 2 digits same) = (263*9)/(263*92) = 1/9
P(exactly 2 letters same) = (26*25*3*92)/(263*92) = 75/676
P(2 digits same AND 2 letters same) = (26*25*3*9)/(263*92) = 25/2028
Required probability = 1/9 + 75/676 - 25/2028 = 0.210

But the correct answer is 0.197. Can I ask where did I go wrong? I can't figure it out...
Thanks!

Your calculation for 2 letters is the probability that at LEAST 2 letters is the same. You have to subtract off the probability that all 3 letters are the same to get the probability that exactly 2 letters are the same.
 
One other possible mistake. Exactly how many ways are there to have 2 items the same in a set of 3?
 
stevendaryl said:
Your calculation for 2 letters is the probability that at LEAST 2 letters is the same. You have to subtract off the probability that all 3 letters are the same to get the probability that exactly 2 letters are the same.

But why is that so?
__ __ __ __ __
For two letters to be the same == 26 choices
For the last letter, since it can't be the same as the two letters that are the same == 26 - 1 = 25 choices
No. of ways to arrange 3 letters, when 2 are the same == 3!/2! = 3
Thus no. of ways == 26 * 25 * 3 * 92

Why did I calculate the probability that at least 2 letters are the same? Could you elaborate? Sorry kind of confused.
 
little neutrino said:
No. of ways to arrange 3 letters, when 2 are the same == 3!/2! = 3
Yup I'm dumb sorry :D
 
Hmm. My criticism was mistaken, but here's a suggestion: Instead of computing probabilities for the various possibilities, try just computing

N_L = the number of ways to have exactly 2 letters the same, and both digits different.
N_D = the number of ways to have 3 or 0 letters the same, and both digits the same.

Then the probability is \frac{N_L + N_D}{26^3 \cdot 9^3}

When I did it that way, I got the expected answer.
 
Okay, I figured out what you did wrong:

You used P(A \vee B) = P(A) + P(B) - P(A \wedge B) where A = "exactly 2 letters the same" and B = "both digits the same". But they aren't asking for A \vee B, they're asking for A\ xor\ B (xor = exclusive or). The formula for that is:

P(A\ xor\ B) = P(A) + P(B) - 2P(A \wedge B)
 
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