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Salmonella poisoning from eating an ice cream bar(cont’d). Refer to Exercise 6.132. Suppose it is now 1 yearafter the outbreak of food poisoning was traced to icecream bars. The manufacturer wishes to estimate the proportionwho still will not purchase bars to within .02 usinga 95% confidence interval. How many consumers should be sampled?

Short Answer

Expert verified

To estimate the proportion who still will not purchase bars to within 0.02 using a 95% confidence interval the manufacturer should be sampled 192 consumers.

Step by step solution

01

Given information

Referring to exercise 6.132, here the manufacturer wanted to estimate the proportion who still will not purchase bars to within 0.02 using a 95% confidence interval.

02

Calculate the number of required consumers

Let’s consider that the population size is N. So, by the formula,

N=Zα2×p1-pe2

Where Z is the value from the standard normal probability to the 95% confidence interval. p is the estimated true proportion and e is the desired precision.

And the number of consumers who should be sampled is n. So, by the formula,

n=NPN+P-1

Where P is the original population size. That is 244.

Therefore, the required population number is,

N=1.962×0.1027×0.89730.022=885.03886

Thus, the manufacturer needs almost 886 consumers as the population.

Now, the required sample size is,

n=244×886244+886-1=191.48192

Therefore, 192 consumers should be sampled.

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Most popular questions from this chapter

A random sample of size n = 225 yielded p^= .46

a. Is the sample size large enough to use the methods of this section to construct a confidence interval for p? Explain.

b. Construct a 95% confidence interval for p.

c. Interpret the 95% confidence interval.

d. Explain what is meant by the phrase “95% confidence interval.”

Study of aircraft bird strikes. Refer to the InternationalJournal for Traffic and Transport Engineering(Vol. 3,2013) study of aircraft bird strikes at a Nigerian airport,Exercise 6.54 (p. 357). Recall that an air traffic controller

wants to estimate the true proportion of aircraft bird strikesthat occur above 100 feet. Determine how many aircraftbird strikes need to be analyzed to estimate the true proportionto within .05 if you use a 95% confidence interval.

Oil content of fried sweet potato chips. The characteristics of sweet potato chips fried at different temperatures were investigated in the Journal of Food Engineering (September 2013). A sample of 6 sweet potato slices was fried at 130° using a vacuum fryer. One characteristic of interest to the researchers was internal oil content (measured in millions of grams). The results were: x¯=178and s=11. The researchers are interested in estimating the variance of the interval oil content measurements for sweet potato chips.

a. Identify the target parameter, in symbols and words.

b. Compute a 95% confidence interval for σ2.

c. What does it mean to say that the target parameter lies within the interval with “95% confidence”?

d. What assumption about the data must be satisfied in order for the confidence interval to be valid?

e. To obtain a practical interpretation of the interval, part b, explain why a confidence interval for the standard deviation, σ, is desired.

f. Use the results, part b, to compute a 95% confidence interval forσ . Give a practical interpretation of the interval.

Question: A random sample of n measurements was selected from a population with unknown meanμand known standard deviationσ2. Calculate a 95% confidence interval forαfor each of the following situations:

a. n = 75, X = 28,σ2= 12

b. n = 200, X= 102, σ2= 22

c. n = 100, X= 15,σ2=.3

d. n = 100, X= 4.05, σ2= .83

e. Is the assumption that the underlying population of measurements is normally distributed necessary to ensure the validity of the confidence intervals in parts a–d? Explain.

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?
  2. Is the sample size large enough to use the normalapproximation for the sampling distribution of the estimator of the binomial probability? Justify your response.
  3. Construct a 95% confidence interval for the true proportionof the market who still refuses to purchase icecream bars 6 months after the event.
  4. Interpret both the point estimate and confidence interval in terms of this application.
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