Estimation - Student-t distribution - Confidence Level

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Homework Help Overview

The discussion revolves around estimating the confidence level for the proportion of axle shafts produced by a company that are deemed to have a rough surface. The context involves statistical methods related to proportions and the Student-t distribution.

Discussion Character

  • Exploratory, Assumption checking, Mathematical reasoning

Approaches and Questions Raised

  • Participants explore the calculation of the standard deviation for a proportion and its application in the context of the problem. There are attempts to clarify the definition of the variable p and its role in the calculations. Some participants express uncertainty about the use of the Student-t formula and the interpretation of the results.

Discussion Status

Several participants have provided calculations and insights regarding the standard deviation of a proportion and the necessary formulas. However, there is still confusion regarding the application of these formulas and the interpretation of the results, indicating an ongoing exploration of the topic.

Contextual Notes

There is mention of specific values and variables that are known and unknown, as well as a reference to imposed homework rules regarding the calculation of confidence intervals. The discussion reflects a need for clarification on statistical concepts without providing definitive solutions.

masterchiefo
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Homework Statement


[/B]
A company produces batches of 1800 axle shafts . These are tested to determine the proportion of those with too rough surface according to the standards set in the industry.

The quality control department of a sample of 150 axle shafts in a lot and concluded that there are between 15 % and 25 % of the axle shafts in this set that are outside the norms . Calculate the confidence level associated with this estimate.

Homework Equations


tn-1,sigma/2=(ME)/((s/sqrt(n))* (sqrt(1-(n/N)))
(1-sigma)=tcdf(-tn-1,sigma/2,+tn-1,sigma/2,n-1)

The Attempt at a Solution


Known variable:
N = 1800
n=150
[15%,25%] ---> average= (15+25)/2 =20% or 0.20
ME = (25-15)/2 = 5% or 0.05

Unknown variable:
(1-sigma)
Average of N
Standard Deviation of nI am stuck here, I cannot continue without knowing SD.
 
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This is a proportion. So, standard deviation of a proportion is
##\sqrt{p(1-p)}.##
 
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RUber said:
This is a proportion. So, standard deviation of a proportion is
##\sqrt{p(1-p)}.##
Hello,

I don't understand, what would be p ?
 
RUber said:
This is a proportion. So, standard deviation of a proportion is
##\sqrt{p(1-p)}.##
do I still use Student -t formula ?
 
I did that:
p=(15%+25%)/2 =0.2
s= √p(1−p) = √0.2(1−0.2) = 0.4
t=(ME)/((s/sqrt(n))* (sqrt(1-(n/N)))
t = 0.05/((0.4/sqrt(150))* (sqrt(1-(150/1800)))
(1-sigma)=tcdf(-t,+t,n-1)
(1-sigma) = 1

It does not work :(
anyone please help me.
 
masterchiefo said:
I did that:
p=(15%+25%)/2 =0.2
s= √p(1−p) = √0.2(1−0.2) = 0.4
t=(ME)/((s/sqrt(n))* (sqrt(1-(n/N)))
t = 0.05/((0.4/sqrt(150))* (sqrt(1-(150/1800)))
(1-sigma)=tcdf(-t,+t,n-1)
I am not sure what you last line is doing.
Normally, you would take your calculate t standard error of the proportion...in this case:
t=(ME)/((s/sqrt(n))* (sqrt(1-(n/N))) = .031,
And compare that to your range ( +/- 5% ) .
This gives you an idea of what your ##t_{\frac{\alpha}{2}, df}## should be equal to.
 
masterchiefo said:

Homework Statement


[/B]
A company produces batches of 1800 axle shafts . These are tested to determine the proportion of those with too rough surface according to the standards set in the industry.

The quality control department of a sample of 150 axle shafts in a lot and concluded that there are between 15 % and 25 % of the axle shafts in this set that are outside the norms . Calculate the confidence level associated with this estimate.

Homework Equations


tn-1,sigma/2=(ME)/((s/sqrt(n))* (sqrt(1-(n/N)))
(1-sigma)=tcdf(-tn-1,sigma/2,+tn-1,sigma/2,n-1)

The Attempt at a Solution


Known variable:
N = 1800
n=150
[15%,25%] ---> average= (15+25)/2 =20% or 0.20
ME = (25-15)/2 = 5% or 0.05

Unknown variable:
(1-sigma)
Average of N
Standard Deviation of nI am stuck here, I cannot continue without knowing SD.

Google "confidence interval for proportion".
 

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