Probability of Filling 100 Orders w/ Defective Components

  • Thread starter Thread starter natethegreatX
  • Start date Start date
  • Tags Tags
    Failure Probability
Click For Summary

Discussion Overview

The discussion revolves around calculating the probability of successfully filling 100 customer orders with components that have a 2% defect rate. Participants explore the application of probability theory, specifically the binomial distribution, to determine the likelihood of having enough non-defective components when stocking either 100 or 102 components.

Discussion Character

  • Homework-related
  • Mathematical reasoning
  • Conceptual clarification

Main Points Raised

  • The initial poster questions the application of the binomial distribution and expresses uncertainty about the results obtained for the two scenarios presented.
  • Some participants seek clarification on the equation provided, asking for its meaning and how it applies to the problem.
  • Another participant draws a parallel to a coin-flipping scenario, suggesting that the underlying concepts of probability are similar and posing related probability questions.

Areas of Agreement / Disagreement

The discussion does not reach a consensus on the correct application of the binomial distribution or the interpretation of the results. Multiple viewpoints and interpretations of the problem remain unresolved.

Contextual Notes

Participants express uncertainty about the appropriate equations to use and the assumptions underlying the probability calculations. There is a lack of clarity regarding the definitions and parameters involved in the problem.

Who May Find This Useful

This discussion may be useful for students studying probability, particularly those interested in binomial distributions and their applications in real-world scenarios involving defective items.

natethegreatX
Messages
1
Reaction score
0

Homework Statement



A manufacturer has 100 customers and needs to make one component per customer. However 2% of the components manufactured come out defective. The components can be assumed to be independent.

If the manufacturer stocks 100 components, what is the probability that the 100 orders can be filled without re-ordering new components?

If the manufacturer stocks 102 components, what is the probability that the 100 orders can be filled without re-ordering new components?

Homework Equations



Not sure, but possibly:

(n!)/(x!(n-x)!)*(p^x)(1-p)^(n-x)

p=probability of failure
n=number of tries
x=number of independent variable


The Attempt at a Solution



The only real problem I'm having is with this equation, the first question goes to 1, and the second goes to zero. I feel those arn't right at all. Wouldn't the first question end up 98%?
So I'm lost on if the binomial distribution function is even supposed to be used or if I just can't plug numers in a calc properly. Oh and this is my official first post on the forums.
 
Physics news on Phys.org
Please clarify that equation, what does it equal?
 
if you don't mind telling me the "section" of probability that this question is under, I'm sure I could find an answer for you.
 
okay what is the probability that a coin will be flipped 100 times, and there will be no heads. this is the same concept as the first question.

The second question is like, what is the probability that a coin is tossed 102 times, and there will be at least 100 heads. Or, in other words, what is the probability a coin is tossed and there are less than 3 tails.
 

Similar threads

  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 7 ·
Replies
7
Views
5K
Replies
4
Views
4K
  • · Replies 12 ·
Replies
12
Views
4K
  • · Replies 10 ·
Replies
10
Views
9K
Replies
6
Views
8K
  • · Replies 4 ·
Replies
4
Views
3K
Replies
2
Views
3K
  • · Replies 1 ·
Replies
1
Views
1K
Replies
2
Views
2K