How Do Standard Deviations Affect Tolerance in Normal Distributions?

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Homework Help Overview

The discussion revolves around problems related to normal distribution in probability, specifically focusing on tolerance limits for extruded plastic rods and developing times in a photographic process.

Discussion Character

  • Mixed

Approaches and Questions Raised

  • Participants explore the calculation of proportions of lengths outside specified tolerance limits and the necessary adjustments to standard deviation to meet certain probability criteria.
  • Questions arise regarding the interpretation of standard deviation in relation to the required probabilities for both problems presented.
  • Some participants suggest using the inverse normal distribution function to find specific values related to the second problem.

Discussion Status

Some participants have made progress on the first problem, while others are still seeking clarity on the second problem. There is a mix of attempted solutions and ongoing inquiries, indicating an active exploration of the concepts involved.

Contextual Notes

Participants are working within the constraints of homework problems that require understanding of normal distribution properties and calculations without providing complete solutions.

brad sue
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Hi, I have 2 problems I would like some help. It is about normal distribution(probability)

PROBLEM 1: Extruded plastic rods are automatically cut into lenghts of 6 inches. Actual lengths are normally distributed about a mean of 6 inches and their standard deviation is 0.06 inch.

1- what proportion of the rods have lenghts that are outside the tolerance limits of 5.9 and 6.1 inches?


Here I did:
p=F((6.1-6)/0.06)- F((5.9-6)/0.06)= F(1.67)-F(-1.67)=0.9525-0.0475=0.905

P(outside tolerance)=1-0.905=0.095

2- To what value does the standard deviation needs to be reduce if 99% of the rods must be within the tolerance?
I can not fin this question.

PROBLEM 2:
In a photographic process, the developping time of prints may be looked upon as a random variable having the normal distribution with a mean of 16.28 seconds and a standard deviation of 0.12 second.
- For which value is the probability 0.95 that it will be exceeded by the time it takes to develop one of the prints?
I don't get this one.

Can I have some help please?
 
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Well, for the second half of problem one, substitute all the values in except those given to you:

P(5.9<Z<6.1) = \phi (\frac{x_1 - \mu}{\sigma}) - \phi (\frac{x_2 - \mu}{\sigma})
0.99 = \phi (\frac{6.1 - 6}{\sigma}) - \phi (\frac{5.9 - 6}{\sigma})
0.99 = \phi (\frac{0.1}{\sigma}) + \phi (\frac{-0.1}{\sigma})
0.99 = \phi (\frac{0.1}{\sigma}) + \phi (\frac{0.1}{\sigma}) - 1
1.99 = 2 \phi (\frac{0.1}{\sigma})
0.995 = \phi (\frac{0.1}{\sigma})

Use the inverse normal distribution function on 0.995, and the answer should be apparent.
 
Last edited:
I got the first problem.
Thanks lapo3399
 
brad sue said:
--------------------------------------------------------------------------------

Hi, I have 2 problems I would like some help. It is about normal distribution(probability)

PROBLEM 1: Extruded plastic rods are automatically cut into lenghts of 6 inches. Actual lengths are normally distributed about a mean of 6 inches and their standard deviation is 0.06 inch.

1- what proportion of the rods have lenghts that are outside the tolerance limits of 5.9 and 6.1 inches?


Here I did:
p=F((6.1-6)/0.06)- F((5.9-6)/0.06)= F(1.67)-F(-1.67)=0.9525-0.0475=0.905

P(outside tolerance)=1-0.905=0.095

2- To what value does the standard deviation needs to be reduce if 99% of the rods must be within the tolerance?
I can not fin this question.

PROBLEM 2:
In a photographic process, the developping time of prints may be looked upon as a random variable having the normal distribution with a mean of 16.28 seconds and a standard deviation of 0.12 second.
- For which value is the probability 0.95 that it will be exceeded by the time it takes to develop one of the prints?
I don't get this one.
In other words, Find x so that P(X> x)= 0.95. Look up the z that gives P(z)= 0.95 in the standard normal distribution and solve (x- 16.29)/0.12= z.
 

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