Binomial Distribution Practice: Part A Solution & Part B Explanation

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SUMMARY

The discussion focuses on solving a binomial distribution problem involving two types of eggs, A and B. For Part A, the user correctly applied the binomial distribution formula X ~ (6, (1/6)) to calculate the probability of one egg being broken for Egg A and similarly for Egg B, then multiplied the results. In Part B, confusion arose when attempting to calculate the probabilities for different cases of broken eggs (AA, BB, AB) using the binomial distribution X ~ (6, (1/6)) and Y ~ (6, (1/10)). The user ultimately received clarification that if two type A eggs are broken, then no type B eggs can be broken to maintain the total of two broken eggs.

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Homework Statement



http://puu.sh/dOcM
Answer:
http://puu.sh/dOcZ

Homework Equations



The Attempt at a Solution


I got Part A.
For part A, this is what I did:

I did Egg A: X ~ (6,(1/6)) P(X = 1) and did something similar for Egg B. I then multiplied both to get the answer for Part A.
http://puu.sh/dOfV

For Part B, I'm a bit confused. I tried doing cases. As in:
(broken eggs): AA , BB , AB (same as BA)
Then I did:
AA: X ~ (6,(1/6)) P(X = 2)
BB: Y ~ (6,(1/10)) P(X = 2)
AB: X ~ (6,(1/6)) P(X = 2) * Y ~ (6,(1/10)) P(X = 2)

My work:
http://puu.sh/dOh8


And then, I tried multiplying and adding the three values. But I didn't get the correct answer.

Could someone help me out please? Thanks
 
Last edited by a moderator:
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If two type A are broken then we must have 0 type B broken in order to have two broken altogether.

RGV
 
Wow, thanks. I tried it out. It works :) thanks.
 

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