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Salmonella poisoning from eating an ice cream bar(cont鈥檇). 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鈥檚 consider that the population size is N. So, by the formula,

N=Z2p1-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=1.9620.10270.89730.022=885.03886

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

Now, the required sample size is,

n=244886244+886-1=191.48192

Therefore, 192 consumers should be sampled.

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Most popular questions from this chapter

Question: Furniture brand familiarity. A brand name that consumers recognize is a highly valued commodity in any industry. To assess brand familiarity in the furniture industry, NPD (a market research firm) surveyed 1,333 women who head U.S. households that have incomes of $25,000 or more. The sample was drawn from a database of 25,000 households that match the criteria listed above. Of the 10 furniture brands evaluated, La-Z-Boy was the most recognized brand; 70.8% of the respondents indicated they were 鈥渧ery familiar鈥 with La-Z-Boy.

a. Describe the population being investigated by NPD.

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d. Construct a 90% confidence interval for the true proportion and interpret it in the context of the problem.

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

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Suppose you have selected a random sample of n = 5 measurements from a normal distribution. Compare the standard normal z-values with the corresponding t-values if you were forming the following confidence intervals.

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