Statistics - normal distribution

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Homework Help Overview

The discussion revolves around a problem involving the normal distribution of diameters of components produced by a plant, specifically focusing on the probability of the difference in diameters between two randomly selected components exceeding a certain value.

Discussion Character

  • Exploratory, Assumption checking, Mathematical reasoning

Approaches and Questions Raised

  • The original poster attempts to calculate the probability of the diameter differing from the mean by more than 0.3mm and explores different interpretations of the problem.
  • Some participants suggest forming a new random variable representing the difference in diameters and calculating its standard deviation.
  • Questions arise regarding the correct application of the normal distribution and the assumptions made about the means and standard deviations.

Discussion Status

Participants are actively engaging with the problem, with some offering guidance on how to approach the calculation of the probability of the difference in diameters. There is recognition of confusion regarding the setup and assumptions, particularly concerning the means used in calculations.

Contextual Notes

There are indications of uncertainty regarding the interpretation of the problem and the parameters of the normal distributions involved, as well as the implications of using different means in calculations.

cohkka
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Homework Statement


A plant manufactures 500 components a day with the diameter being random variable:
N(8.02, 0.1^2)mm

What is the probability of two randomly picked components differing by more than 0.3mm?2. Solution
I know that the solution is 0.966

The Attempt at a Solution


I thought that I needed to find the probability of the diameter differing from the mean by more than 0.3mm:
P(X < 7.72) + P(X > 8.32)
= 1 - P(7.72 < X < 8.32)
= 1 - { Phi[(8.32-8.02)/0.1] - Phi[(7.72-8.02)/0.1] }
= 1 - { Phi[3] - Phi[-3] }
= 1 - { Phi[3] - (1 - Phi[3]) }
= 1 - {0.99865 - (1-0.99865)}
= 1 - 0.9973
= 0.0027

This obviously is far from the correct answer and so I realize I must be completely on the wrong track but don't know how else one might approach this problem. I thought that the question might instead be asking for the probability of the difference of the two diameters being greater than 0.3mm so
P(a < X < a+0.3) but have no idea how you would go about finding the probability of an unknown value.

As you can probably tell, I am really confused by this so any help would be much appreciated! Thank you!
 
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You have two random variables: X1, the diameter of the first ball, and X2, the diameter of the second ball. Now form a third random variable Y=X1-X2, which is the difference in their diameters. Do you see how to solve the problem now?
 
I think I might have got it now...

So for this new variable Y=X1-X2, I have to also calculate a new standard deviation which is sqrt(0.12 + 0.12) = 0.1*sqrt(2)

So P(X>0.3) = 1 - P(X<0.3)
= 1 - Phi[0.3/(0.1*sqrt(2))]
= 1 - Phi[2.1213...]
= 1 - 0.983
= 0.0169
P(X<-0.3) = 0.0169
P(-0.3<X<0.3) = 1 - 2*0.0169
= 0.9661 (I guess the solution must have just been given for the difference being less than 0.3mm??)


Is this right? I understand why this would be correct but then when I apply this to the next part of the question, I do not get the right answer.
Now another plant B produces components with diameter being random variable N(7.95,0.082)

What now is the probability of the diameter of two randomly picked components differing by more than 0.3mm if one is produced by plant B and the other by the first plant?

I went about this in the same way, calculating a standard deviation for this distribution:
sqrt(0.12 + 0.082) = [sqrt(41)]/50

Using the mean as zero and this standard deviation, I get P(-0.3<X<0.3)=0.9808, whereas the solution I am given is 0.9662...where am I going wrong

Sorry for the long post!
 
This is where you're going wrong:

cohkka said:
Using the mean as zero and this standard deviation
 
Ahhhhhh THANK YOU SO, SO MUCH! I have been struggling with this question for so long!
 

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