Probability of choosing 2 items randomly

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Homework Help Overview

The discussion revolves around a probability problem involving the selection of electronic components from different suppliers, focusing on determining the likelihood of defective items. Participants are addressing specific parts of the problem, particularly regarding conditional probabilities and the use of probability trees.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning, Problem interpretation, Assumption checking

Approaches and Questions Raised

  • Participants are attempting to formulate the problem mathematically, questioning how to represent the given information in terms of probabilities. Some suggest using a probability tree or a tabular format to organize the data. Others raise concerns about the assumptions regarding replacement in sampling and the implications of large sample sizes on probability calculations.

Discussion Status

There is an ongoing exploration of different methods to approach the problem, with some participants providing guidance on how to structure the information. However, there is no explicit consensus on the best method to use, and various interpretations of the problem are being discussed.

Contextual Notes

Participants note the lack of clarity in the problem statement regarding the number of components and whether the selection is with or without replacement. This has led to discussions about the implications of these assumptions on the calculations involved.

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Homework Statement


i am having problem with part ii) a and b . i have no idea how to start. can someone please help me?:smile:

Homework Equations





The Attempt at a Solution

 

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The probability tree only works for a single component selected.
It will let you find out, for instance, the probability that component comes from factory A and it is defective.
What you need to start with is a mathematical version of the word problem.
i.e. can you write out the information given in maths?
(Hint: conditional probability)

P(D|A)=0.05, P(D|B)=0.02, P(A)=0.4, etc.
 
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Simon Bridge said:
The probability tree only works for a single component selected.
It will let you find out, for instance, the probability that component comes from factory A and it is defective.
What you need to start with is a mathematical version of the word problem.
i.e. can you write out the information given in maths?
(Hint: conditional probability)

P(D|A)=0.05, P(D|B)=0.02, P(A)=0.4, etc.
P(D|C)= 0.01
P(B) =0.35
what else info needed?
 
desmond iking said:

Homework Statement


i am having problem with part ii) a and b . i have no idea how to start. can someone please help me?:smile:

Homework Equations





The Attempt at a Solution


It is a shame that you persist in submitting thumbnails (instead of properly typed work)---in violation of PF policies---because it means that I am unable (and unwilling) to offer any assistance. I cannot read your submissions on some media.
 
Here - let me help:
Problem Statement:
A factory producing electronic equipments (sic) obtains 40% of the electronic components from supplier A, 25% from supplier B, and 34% from suplier C. The percentages of defective electronic components supplied by A, B, and C are respectively 5%, 2% and 1%.

(i) Find the probability that an electronic component selected randomly from the overall supply to the factory, is defective. To be fair, it would be difficult to type out a diagram.

(ii) Find the probability, from two electronic components selected randomly from the overall supply as received by the factory,
##\qquad## (a) at least one electronic component is defective.
##\qquad## (b) both the electronic components are defective and are supplied by supplier A.
The supplied working involved a probability tree in two stages - the first one involves the supplier probabilities and the other the defective probabilities.

The probability that the first selected component is both defective and comes from supplier A would be written down as...?
 
Simon Bridge said:
Here - let me help:

The supplied working involved a probability tree in two stages - the first one involves the supplier probabilities and the other the defective probabilities.

The probability that the first selected component is both defective and comes from supplier A would be written down as...?

Thanks for that, although it should be the OP that writes it out, not you.

Anyway, the OP may find it helpful to use a tabular presentation instead of a tree. So, imagine 1,000,000 parts. How many come from suppliers A, B and C? Of the ones from A, how many are defective? Non-defective? Ditto for suppliers B and C. So, altogether, how many of the million parts are defective? All this can be nicely summarized in a table.

The answers to (i) and (ii) (a) are easily obtained from this, but (ii) (b) involves a bit of extra work (or, rather, consulting a different part of the table).
 
That would work - though I suspect the exercise is in using the equations.
Mind you - I have not done the work myself.
 
Simon Bridge said:
That would work - though I suspect the exercise is in using the equations.
Mind you - I have not done the work myself.

someone told me that the working is 1 - (1-.0285)^2 = 0.0562

this is 1-(all not defective)

but the working is based on after one electronic component is picked , then the electronic componenet is put back which is with replacement. but why it is with replacement? the question didnt state that.
 
  • #10
The question does not state how many components were obtained either - which you need to know if you want to use sampling without replacement.
What they have done is suppose that the number of components is so large that removing one from the collection does not significantly affect the odds. It's like taking a drop of water from the ocean - technically that should affect the sea-level by some small amount right? But you don't bother taking that into account in day-to-day calculations.

That structure from the example working is because they have used an equation.
You know P(D|A) so probability not defective P(notD|A)=1-P(D|A) and you know P(A) and the equation for conditional probability.
 

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