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In the article "Fluoridation Brushed Off by Utah" (Associated Press, August 24,1998 ), it was reported that a small but vocal minority in Utah has been successful in keeping fluoride out of Utah water supplies despite evidence that fluoridation reduces tooth decay and despite the fact that a clear majority of Utah residents favor fluoridation. To support this statement, the article included the result of a survey of Utah residents that found \(65 \%\) to be in favor of fluoridation. Suppose that this result was based on a random sample of 150 Utah residents. Construct and interpret a \(90 \%\) confidence interval for \(p,\) the proportion of all Utah residents who favor fluoridation. Is this interval consistent with the statement that fluoridation is favored by a clear majority of residents?

Short Answer

Expert verified
The 90% confidence interval is calculated to estimate the true proportions. If the lower limit of the interval is greater than 0.5, it indicates a clear majority favoring fluoridation. The specific numerical values will be determined by the calculations.

Step by step solution

01

Identify Given Information

We know that the sample size (n) is 150 and the sample proportion (\( \hat{p} \)) is 0.65 or 65%.
02

Calculate Standard Error

Next, we need to calculate the standard error (SE). This can be done using the formula for standard error of a proportion which is \( SE = \sqrt{ \frac{\hat{p}*(1-\hat{p})}{n} }\). Therefore, \( SE = \sqrt{ \frac{0.65*(1 - 0.65)}{150} } \).
03

Construct the Confidence Interval

A 90% confidence interval for the population proportion can be constructed using the formula \( \hat{p} \pm Z*SE \), where Z is a value from the standard normal distribution related to the desired confidence level. For a 90% confidence interval, Z is approximately 1.645. Substitute the previously calculated values into the formula.
04

Interpret the Confidence Interval

The constructed interval can be interpreted as we are 90% confident that the true proportion of Utah residents who favor fluoridation is within this interval.
05

Check if Majority Favors Fluoridation

To check if a clear majority of the residents favor fluoridation, we need to see if the lower limit of the confidence interval is greater than 0.5 (or 50%). If that's the case, then it supports the statement that a clear majority favors fluoridation.

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Most popular questions from this chapter

The report "2005 Electronic Monitoring \& Surveillance Survey: Many Companies Monitoring, Recording, Videotapingand Firing-Employees" (American Management Association, 2005) summarized a survey of 526 U.S. businesses. The report stated that 137 of the 526 businesses had fired workers for misuse of the Internet, and 131 had fired workers for e-mail misuse. Assume that the sample is representative of businesses in the United States. a. Construct and interpret a \(95 \%\) confidence interval for the proportion of U.S. businesses that have fired workers for misuse of the Internet. b. What are two reasons why a \(90 \%\) confidence interval for the proportion of U.S. businesses that have fired workers for misuse of e-mail would be narrower than the \(95 \%\) confidence interval calculated in Part (a)?

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Will \(\hat{p}\) from a random sample from a population with \(60 \%\) successes tend to be closer to 0.6 for a sample size of \(n=400\) or a sample size of \(n=800 ?\) Provide an explanation for your choice.

Appropriate use of the interval $$ \hat{p} \pm(z \text { critial value }) \sqrt{\frac{\hat{p}(1-\hat{p})}{n}} $$ requires a large sample. For each of the following combinations of \(n\) and \(\hat{p}\), indicate whether the sample size is large enough for this interval to be appropriate. a. \(n=50\) and \(\hat{p}=0.30\) b. \(n=50\) and \(\hat{p}=0.05\) c. \(n=15\) and \(\hat{p}=0.45\) d. \(n=100\) and \(\hat{p}=0.01\)

The article "Students Increasingly Turn to Credit Cards" (San Luis Obispo Tribune, July 21,2006 ) reported that \(37 \%\) of college freshmen and \(48 \%\) of college seniors carry a credit card balance from month to month. Suppose that the reported percentages were based on random samples of 1,000 college freshmen and 1,000 college seniors. (Hint: See Example 9.5\()\) a. Construct and interpret a \(90 \%\) confidence interval for the proportion of college freshmen who carry a credit card balance from month to month. b. Construct and interpret a \(90 \%\) confidence interval for the proportion of college seniors who carry a credit card balance from month to month. c. Explain why the two \(90 \%\) confidence intervals from Parts (a) and (b) are not the same width.

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