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Wear-out of used display panels. Refer to Exercise 4.126 (p. 270) and the study of the wear-out failure time of used colored display panels purchased by an outlet store. Recall that prior to acquisition, the panels had been used for about one-third of their expected lifetimes. The failure times (in years) for a sample of 50 used panels are reproduced in the table. An SPSS printout of the analysis is shown below.

a. Locate a 95% confidence interval for the true mean failure time of used colored display panels on the printout.

b. Give a practical interpretation of the interval, part a.

c. In the repeated sampling of the population of used colored display panels, where a 95% confidence interval for the mean failure time is computed for each sample, what proportion of all the confidence intervals generated will capture the true mean failure time?

Short Answer

Expert verified
  1. (1.6776,2.1924)


  2. We can say that the mean failure time lies between (1.6776,2.1924) 95% time
  3. 0.95

Step by step solution

01

(a) Calculating Confidence Interval

From the given output, 95% confidence interval for the true mean failure time of used colored display panels: (1.6776,2.1924).

02

(b) Practical Interpretation

We are 95% confident that the true mean failure time of used colored display time of used colored display panels lies within (1.6776,2.1924)

03

(c) Calculating proportions of Confidence Intervals

Suppose we were to take many different samples and compute a 95% confidence interval for each sample. In that case, the proportion of all the confidence intervals generated will capture the true mean failure time is approximately 0.95.

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Most popular questions from this chapter

Zillow.com estimates of home values. Zillow.com is a real estate Web site that provides free estimates of the market value of homes. Refer to The Appraisal Journal (Winter 2010) study of the accuracy of Zillowโ€™s estimates, Exercise 1.25 (p. 51). Data were collected for a sample of 2,045 single-family residential properties in Arlington, Texas. The researchers determined that Zillow overestimated by more than 10% the market value of 818 of the 2,045 homes. Suppose you want to estimate p, the true proportion of Arlington, Texas, homes with market values that are over-estimated by more than 10% by Zillow.

a. Find p^, the point estimate of p.

b. Describe the sampling distribution of .

c. Find a 95% confidence interval for p.

d. Give a practical interpretation of the confidence interval, part c.

e. Suppose a Zillow representative claims that p = .3. Is the claim believable? Explain.

Suppose N= 10,000, n= 2,000, and s= 50.

a. Compute the standard error of xusing the finite populationcorrection factor.

b. Repeat part a assuming n= 4,000.

c. Repeat part a assuming n= 10,000.

d. Compare parts a, b, and c and describe what happens to the standard error of xas nincreases.

e. The answer to part c is 0. This indicates that there is no sampling error in this case. Explain.

In each case, find the approximate sample size required to construct a 95% confidence interval for p that has sampling error of SE = .08.

a. Assume p is near .2.

b. Assume you have no prior knowledge about p, but you wish to be certain that your sample is large enough to achieve the specified accuracy for the estimate.

Suppose the standard deviation of the population is knownto beฯƒ=200 . Calculate the standard error of X for eachof the situations described in Exercise 6.80.

Salmonella poisoning from eating an ice cream bar.Recently, a case of salmonella (bacterial) poisoning wastraced to a particular brand of ice cream bar, and themanufacturer removed the bars from the market. Despitethis response, many consumers refused to purchase anybrand of ice cream bars for some period of time after the event (McClave, personal consulting). One manufacturerconducted a survey of consumers 6 months after theoutbreak. A sample of 244 ice cream bar consumers wascontacted, and 23 respondents indicated that they wouldnot purchase ice cream bars because of the potential forfood poisoning.

  1. What is the point estimate of the true fraction of the entiremarket who refuse to purchase bars 6 months after the out-break?
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  3. Construct a 95% confidence interval for the true proportionof the market who still refuses to purchase icecream bars 6 months after the event.
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