How Do You Calculate the Probability of Specific Fits in Multiple Assemblies?

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SUMMARY

The probability of having exactly 2 loose-fits and 1 interference fit among 20 assemblies is calculated using the multinomial distribution. The probabilities are defined as P(loose-fit) = 0.1335 and P(interference fit) = 0.083. The correct approach involves applying the multinomial formula rather than simply adding two binomial distributions. The final probability calculation yields approximately 0.57675, confirming the necessity of using the multinomial distribution for scenarios involving more than two categories.

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Homework Statement



What is the probability that among a collection of 20 assemblies we have exactly 2 loose-fits and 1 interference fits?

P(loose-fit) = .1335
P(Interference fit) = .083

Homework Equations





The Attempt at a Solution



I am thinking that I just add the two binomial distributions together.

P(Loose = 2) = (20 choose 2)*.1335^2 * (1-.1335)^18
+
P(Interference = 1) = (20 choose 1)*.083^1 * (1-.083)^19

This comes out to: .25677 + .31998 = .57675

But, I feel like I am missing something. Anyone that can confirm or deny will be much appreciated!
Thanks!
 
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Just in case anyone comes across this in the future. It is done by using the multinomial distribution. Apparently the binomial is a generalization of the multinomial with k=2. Good to know.
 
USN2ENG said:
Just in case anyone comes across this in the future. It is done by using the multinomial distribution. Apparently the binomial is a generalization of the multinomial with k=2. Good to know.

It exactly opposite to what you say: the multinomial is a generalization of the binomial, and not the other way round.
 

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