Confidence Interval for Variance of Bolt Diameters

Published on February 11, 2025

Statistics

The solution calculates confidence intervals for the variance and mean of bolt diameters, demonstrating how reducing the confidence level results in a narrower confidence interval for the mean.

Question

zu Aufgabenteil a) es ist für das Konfidenzniveau 0,90 das Konfidenzintervall für die Varianz von x anzugeben zu Aufgabenteil b) die Varianz² wird auf 0,04 geändert, es soll wieder das Konfidenzintervall zum Konfidenzniveau 0,90 angegeben werden

es sind 9 Bolzen

in der Angabe beträgt die korrigierte empirische Varianz 0,09mm²

bei ist da Konfidenzniveau 0,90

zu Aufgabe a) das Konfidenzniveau ist 0,90 nicht 0,8 bitte ändern

bei c) wird das Konfidenzniveau auf 0,89 reduziert

Answer

Here’s the step-by-step solution to the problem:
Problem 8
A machine produces bolts. In a quality control check, the diameter of 9 bolts was measured. The sample mean is 20.14 mm and the corrected sample variance is 0.09 mm². The diameter of the bolts is modeled by a normally distributed random variable X.
a) Confidence interval for the variance of X at a confidence level of 0.90.
For a normally distributed population, the confidence interval for the variance is given by:
Given:
  • Sample size
  • Sample variance
  • Confidence level , so , ,
  • Degrees of freedom
We need to find the critical chi-squared values for and with 8 degrees of freedom. From the chi-squared distribution table:
Now, we can calculate the confidence interval:
Lower bound:
Upper bound:
The 90% confidence interval for the variance of X is approximately .
b) Confidence interval for the expectation (mean) of X at a confidence level of 0.90, given that the population variance .
For a normally distributed population with known variance , the confidence interval for the mean is given by:
Given:
  • Sample mean
  • Population variance , so population standard deviation
  • Sample size
  • Confidence level , so ,
We need to find the z-score . From the standard normal distribution table, .
Now, we can calculate the confidence interval:
Margin of error:
Lower bound:
Upper bound:
The 90% confidence interval for the expectation (mean) of X is approximately .
c) What happens when the confidence level is reduced to 0.89?
When the confidence level is reduced from 0.90 to 0.89, the value of increases from to . Consequently, increases from 0.05 to 0.055.
For the confidence interval of the mean (part b), the width of the interval is determined by . As increases from 0.05 to 0.055, the value of decreases. For example, and (approximately).
Since decreases, the margin of error becomes smaller, and therefore the confidence interval becomes narrower.
Let’s calculate the 89% confidence interval for comparison:
For confidence level 0.89, , . .
New margin of error:
New lower bound:
New upper bound:
The 89% confidence interval for the expectation (mean) of X is approximately .
Comparing the 90% confidence interval and the 89% confidence interval , we see that the 89% confidence interval is narrower.
Final Answer:
a) The 90% confidence interval for the variance of X is approximately .
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b) The 90% confidence interval for the expectation (mean) of X is approximately .
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c) When the confidence level is reduced to 0.89, the confidence interval for the expectation (mean) becomes narrower. For a confidence level of 0.89, the confidence interval is approximately .
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