An automotive supplier of interior parts places several

Chapter 7, Problem 15E

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QUESTION:

An automotive supplier of interior parts places several electrical wires in a harness. A pull test measures the force required to pull spliced wires apart. A customer requires that each wire spliced into the harness must withstand a pull force of 20 pounds. Let \(X\) equal the pull force required to pull 20 gauge wires apart. Assume that the distribution of \(X\) is \(N\left(\mu, \sigma^{2}\right)\). The following data give 20 observations of \(X\):

28.8         24.4         30.1         25.6         26.4         23.9         22.1         22.5         27.6         28.1

20.8        27.7         24.4         25.1         24.6         26.3          28.2          2.2          26.3         24.4

(a) Find point estimates for \(\mu\) and \(\sigma\).

(b) Find a \(99 \%\)  one-sided confidence interval for μ that provides a lower bound for \(\mu\).

Equation Transcription:

 

Text Transcription:

X

N(mu,sigma^2)

Mu

sigma

99%

Questions & Answers

QUESTION:

An automotive supplier of interior parts places several electrical wires in a harness. A pull test measures the force required to pull spliced wires apart. A customer requires that each wire spliced into the harness must withstand a pull force of 20 pounds. Let \(X\) equal the pull force required to pull 20 gauge wires apart. Assume that the distribution of \(X\) is \(N\left(\mu, \sigma^{2}\right)\). The following data give 20 observations of \(X\):

28.8         24.4         30.1         25.6         26.4         23.9         22.1         22.5         27.6         28.1

20.8        27.7         24.4         25.1         24.6         26.3          28.2          2.2          26.3         24.4

(a) Find point estimates for \(\mu\) and \(\sigma\).

(b) Find a \(99 \%\)  one-sided confidence interval for μ that provides a lower bound for \(\mu\).

Equation Transcription:

 

Text Transcription:

X

N(mu,sigma^2)

Mu

sigma

99%

ANSWER:

Step 1 of 4

Given,

Sample size,
Let’s determine the following using the data:

 

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