Probability of Difference in Means for Two Independent Paint Experiments

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Homework Help Overview

The discussion revolves around comparing the drying times of two different types of paints through independent experiments. The original poster presents a problem involving the calculation of the probability that the difference in means of drying times exceeds a certain value, given specific sample sizes and known population standard deviations.

Discussion Character

  • Mixed

Approaches and Questions Raised

  • Participants explore the distribution of the difference in means and question the clarity of the sample sizes mentioned in the problem statement. There is a focus on the implications of using the Central Limit Theorem (CLT) and the assumptions regarding the normality of the drying times.

Discussion Status

The discussion is active, with participants raising questions about the setup of the problem and the assumptions made. Some guidance has been offered regarding the use of the CLT and the importance of clarifying sample sizes, but there is no explicit consensus on the resolution of the discrepancies noted.

Contextual Notes

There is a noted inconsistency in the problem statement regarding the number of specimens versus the sample sizes used in calculations. Participants are encouraged to focus on the sample sizes for their analysis while questioning the implications of the drying times' distribution.

tzx9633

Homework Statement


Two independent experiments are being run in which two different types of paints are compared. Eighteen specimens are painted using type A and the drying time in hours is recorded on each. The same is done with type B. The population standard deviations are both known to be 1.0.

Assuming that the mean drying time is equal for the two types of paint, find P(XA–XB>0.3), where XA and XB are the average drying times for samples of size nA = nB = 20. XA and XB has the same mean.

Homework Equations

The Attempt at a Solution


σ between 2 means = sqrt ( 2x(1/sqrt(20))^2 ) = 0.316 P(XA–XB>0.3) = P ( z > ( 0.3 - 0) / 0.316) = 0.171 , but the an sprovided is 0.00135 , is my ans wrong ? [/B]
 
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XA-XB is a sum of 36 stochastic variables. What is the distribution of XA-XB and how do you reach that conclusion?

Edit: Actually your question is unclear. It states eighteen samples for each paint but then jumps to nA = nB = 20. Which is it?
 
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so
Orodruin said:
XA-XB is a sum of 36 stochastic variables. What is the distribution of XA-XB and how do you reach that conclusion?

Edit: Actually your question is unclear. It states eighteen samples for each paint but then jumps to nA = nB = 20. Which is it?
sorry , typo there . n1 = n2 = 20 , so XA-XB = (0, 0.316)
 
It is not so important what you call them as much as what they are. What I am asking about is the apparent discrepancy between
tzx9633 said:
Eighteen specimens are painted
and
tzx9633 said:
samples of size nA = nB = 20
 
Orodruin said:
It is not so important what you call them as much as what they are. What I am asking about is the apparent discrepancy between

and
ignore the 18 , take n1 = n2 = 20
 
tzx9633 said:

Homework Statement


Two independent experiments are being run in which two different types of paints are compared. Eighteen specimens are painted using type A and the drying time in hours is recorded on each. The same is done with type B. The population standard deviations are both known to be 1.0.

Assuming that the mean drying time is equal for the two types of paint, find P(XA–XB>0.3), where XA and XB are the average drying times for samples of size nA = nB = 20. XA and XB has the same mean.

Homework Equations

The Attempt at a Solution


σ between 2 means = sqrt ( 2x(1/sqrt(20))^2 ) = 0.316 P(XA–XB>0.3) = P ( z > ( 0.3 - 0) / 0.316) = 0.171 , but the an sprovided is 0.00135 , is my ans wrong ? [/B]

Your answer is correct.
 
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I would suggest, tzx, more a matter of taste, I guess, you mention at least slightly your use of the CLT here.
 
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WWGD said:
I would suggest, tzx, more a matter of taste, I guess, you mention at least slightly your use of the CLT here.
I second this. There is no mention of the drying times having a normal distribution so it is an important point.

Edit: Along the same lines, giving the answer with three significant digits is probably quoting a bit more precision than available.
 
Orodruin said:
I second this. There is no mention of the drying times having a normal distribution so it is an important point.

.

Together with the assumed independence, to avoid covariance issues, and maybe some reference to adding i.i.d RVs..
 

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