Question:Piercing rating of fencing safety jackets. A manufacturer produces safety jackets for competitive fencers. These jackets are rated by the minimum force, in newtons, that will allow a weapon to pierce the jacket. When this process is operating correctly, it produces jackets that have ratings with an average of 840 newtons and a standard deviation of 15 newtons. FIE, the international governing body for fencing, requires jackets to be rated at a minimum of 800 newtons. To check whether the process is operating correctly, a manager takes a sample of 50 jackets from the process, rates them, and calculatesx¯, the mean rating for jackets in the sample. She assumes that the standard deviation of the process is fixed but is worried that the mean rating of the process may have changed.

a. What is the sampling distribution of x¯if the process is still operating correctly?

Short Answer

Expert verified
  1. The sampling distribution ofx¯ has mean 840 and sd 2.121.

Step by step solution

01

Given Information

Let x be the rating process.

The sample size is 50.

A manufacturer produces jackets with an average 840 newtons and standard deviation 15 newtons.

02

Sampling distribution

A sampling distribution is a statistical probability distribution derived from repeated sampling of a given population. It represents a population's range of probable outcomes for a statistic, like the average or mode of certain variable. The vast majority of the information evaluated by academics are samples rather than populations.

03

Sampling distributions of  x¯

The mean is given by

μx¯=840

The s.d is given by

σX¯=σn=1550=2.121

Therefore, the mean and sd are 840 and 2.121.

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Most popular questions from this chapter

A random sample of n=900 observations is selected from a population with μ=100andσ=10

a. What are the largest and smallest values ofx¯ that you would expect to see?

b. How far, at the most, would you expect xto deviate from μ?

c. Did you have to know μto answer part b? Explain.

A random sample ofn=100observations is selected from a population withμ=30and σ=16. Approximate the following probabilities:

a.P=(x28)

b.localid="1658061042663" P=(22.1x26.8)

c.localid="1658061423518" P=(x28.2)

d.P=(x27.0)

Surface roughness of pipe. Refer to the Anti-CorrosionMethods and Materials(Vol. 50, 2003) study of the surface roughness of oil field pipes, Exercise 2.46 (p. 96). Recall that a scanning probe instrument was used to measure thesurface roughness x(in micrometers) of 20 sampled sectionsof coated interior pipe. Consider the sample mean,X¯.

  1. Assume that the surface roughness distribution has a mean of = 1.8 micrometers and a standard deviation of = .5 micrometer. Use this information to find theprobability thatexceeds 1.85 micrometers.
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1.72

2.50

2.16

2.13

1.06

2.24

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2.03

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1.40

2.57

2.64

1.26

2.05

1.19

2.13

1.27

1.51

2.41

1.95

Refer to Exercise 5.18. Find the probability that

  1. x¯is less than 16.
  2. x¯is greater than 23.
  3. x¯is greater than 25.
  4. x¯falls between 16 and 22.
  5. x¯ is less than 14.

Salary of a travel management professional. According to the most recent Global Business Travel Association (GBTA) survey, the average base salary of a U.S. travel management professional is \(94,000. Assume that the standard deviation of such salaries is \)30,000. Consider a random sample of 50 travel management professionals and let χ¯ represent the mean salary for the sample.

  1. What isμχ¯?
  2. What isσχ¯?
  3. Describe the shape of the sampling distribution ofχ¯.
  4. Find the z-score for the valueχ¯=86,660
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