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Determining Sample Size. In Exercises 19–22, assume that each sample is a simple random sample obtained from a normally distributed population. Use Table 7-2 on page 338 to find the indicated sample size.

Space mountain You want to estimate σfor the population of waiting times for the space mountain ride in Walt Disney World. You want to be 99% confident that the sample standard deviation is within 1% ofσ. Find the minimum sample size. Is this sample size practical?

Short Answer

Expert verified

The value of the minimum sample size to be 99% confident that the sample standard deviation is within 1% of the value of the population standard deviation σis equal to 33218.

Since the sample size is enormous, it is not practically possible to consider such a large sample to estimate the standard deviation of the waiting times for the space mountain ride.

Step by step solution

01

Given information

It is given that there should be 99% confidence that the sample standard deviation should be within 1% of the value of the population standard deviation. The sample size is needed to be determined.

02

Determine the sample size

Using the table given in the book, the minimum sample size required to be 99% confident that the sample standard deviation should be within 1% of the value of the population standard deviation is equal to 19205.

Therefore, the required sample size is equal to 33218.

03

Step 3:Practicality of the sample size 

A sample of size 33218 is huge. It is not feasible to consider such a large sample.

Thus, the sample size of 33218 is quite impractical.

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Most popular questions from this chapter

In Exercises 5–8, use the relatively small number of given bootstrap samples to construct the confidence interval. Freshman 15: Here is a sample of amounts of weight change (kg) of college students in their freshman year (from Data Set 6 “Freshman 15” in Appendix B): 11, 3, 0, -2, where -2 represents a loss of 2 kg and positive values represent weight gained. Here are ten bootstrap samples: {11, 11, 11, 0}, {11, -2, 0, 11}, {11, -2, 3, 0}, {3, -2, 0, 11}, {0, 0, 0, 3}, {3, -2, 3, -2}, {11, 3, -2, 0}, { -2, 3, -2, 3}, { -2, 0, -2, 3}, {3, 11, 11, 11}. a. Using only the ten given bootstrap samples, construct an 80% confidence interval estimate of the mean weight change for the population. b. Using only the ten given bootstrap samples, construct an 80% confidence interval estimate of the standard deviation of the weight changes for the population.

Sample Size. In Exercises 29–36, find the sample size required to estimate the population mean.

Mean Body Temperature Data Set 3 “Body Temperatures” in Appendix B includes 106 body temperatures of adults for Day 2 at 12 am, and they vary from a low of 96.5°F to a high of 99.6°F. Find the minimum sample size required to estimate the mean body temperature of all adults. Assume that we want 98% confidence that the sample mean is within 0.1°F of the population mean.

a. Find the sample size using the range rule of thumb to estimate s.

b. Assume that σ=0.62F, based on the value of s=0.6Ffor the sample of 106 body temperatures.

c. Compare the results from parts (a) and (b). Which result is likely to be better?

Determining Sample Size. In Exercises 31–38, use the given data to find the minimum sample size required to estimate a population proportion or percentage.

Astrology

A sociologist plans to conduct a survey to estimate the percentage of adults who believe in astrology. How many people must be surveyed if we want a confidence level of 99% and a margin of error of four percentage points?

a. Assume that nothing is known about the percentage to be estimated.

b. Use the information from a previous Harris survey in which 26% of respondents said that they believed in astrology.

Critical Thinking. In Exercises 17–28, use the data and confidence level to construct a confidence interval estimate of p, then address the given question. Smoking Stopped In a program designed to help patients stop smoking, 198 patients were given sustained care, and 82.8% of them were no longer smoking after one month. Among 199 patients given standard care, 62.8% were no longer smoking after one month (based on data from “Sustained Care Intervention and Post discharge Smoking Cessation Among Hospitalized Adults,” by Rigottiet al., Journal of the American Medical Association, Vol. 312, No. 7). Construct the two 95% confidence interval estimates of the percentages of success. Compare the results. What do you conclude?

Constructing and Interpreting Confidence Intervals. In Exercises 13–16, use the given sample data and confidence level. In each case, (a) find the best point estimate of the population proportion p; (b) identify the value of the margin of error E; (c) construct the confidence interval; (d) write a statement that correctly interprets the confidence interval.

Medical Malpractice In a study of 1228 randomly selected medical malpractice lawsuits, it was found that 856 of them were dropped or dismissed (based on data from the Physicians Insurers Association of America). Construct a 95% confidence interval for the proportion of medical malpractice lawsuits that are dropped or dismissed.

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