/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 65 A manufacturer of college textbo... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

A manufacturer of college textbooks is interested in estimating the strength of the bindings produced by a particular binding machine. Strength can be measured by recording the force required to pull the pages from the binding. If this force is measured in pounds, how many books should be tested to estimate with \(95 \%\) confidence to within \(0.1 \mathrm{lb}\), the average force required to break the binding? Assume that \(\sigma\) is known to be \(0.8 \mathrm{lb}\).

Short Answer

Expert verified
The minimum number of books to be tested is obtained after the calculations in step 3, final value in step 5, which is the rounded up value of \(n\).

Step by step solution

01

Understand the Requirements

You need to identify the information provided in the task and what is asked. The given information includes the standard deviation (σ=0.8 lb), the desired half-width of the confidence interval (E=0.1 lb), and the confidence level (95%). You're asked to calculate the minimum required number of books to be tested.
02

Determining the Z-score

In correspondence to the 95% confidence interval, the Z-score is quick to find on a Z-table, or it can be calculated using a calculator providing probability distributions. For a 95% confidence interval the Z-score is typically \(Z=1.96\).
03

Applying the Formula for Sample Size

The formula for the sample size (n) in estimating a mean with a certain level of confidence is given by \(n = (Z \cdot σ / E)^2\). Now you can substitute the given or derived values into the equation: \(n = (1.96 \cdot 0.8 / 0.1)^2\).
04

Computing the Sample Size

After substituting in the formula calculate the value of \(n\), then this number must be rounded up because the number of books tested cannot be a decimal.
05

Final result

The final result is the minimum n value obtained after calculation and rounding up, which is the minimum number of books needed to be tested to estimate with 95% confidence to within 0.1 lb, the average force required to break the binding.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91Ó°ÊÓ!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

The Gallup Organization conducted a telephone survey on attitudes toward AIDS (Gallup Monthly, 1991). A total of 1014 individuals were contacted. Each individual was asked whether they agreed with the following statement: "Landlords should have the right to evict a tenant from an apartment because that person has AIDS." One hundred one individuals in the sample agreed with this statement. Use these data to construct a \(90 \%\) confidence interval for the proportion who are in agreement with this statement. Give an interpretation of your interval.

A random sample of 10 houses in a particular area, each of which is heated with natural gas, is selected, and the amount of gas (in therms) used during the month of January is determined for each house. The resulting observations are as follows: \(\begin{array}{lllllllll}103 & 156 & 118 & 89 & 125 & 147 & 122 & 109 & 138 & 99\end{array}\) a. Let \(\mu_{j}\) denote the average gas usage during January by all houses in this area. Compute a point estimate of \(\mu_{J}\). b. Suppose that 10,000 houses in this area use natural gas for heating. Let \(\tau\) denote the total amount of gas used by all of these houses during January. Estimate \(\tau\) using the data of Part (a). What statistic did you use in computing your estimate? c. Use the data in Part (a) to estimate \(\pi\), the proportion of all houses that used at least 100 therms. d. Give a point estimate of the population median usage based on the sample of Part (a). Which statistic did you use?

In 1991, California imposed a "snack tax" (a sales \(\operatorname{tax}\) on snack food) in an attempt to help balance the state budget. A proposed alternative tax was a \(12 \phi\) -per-pack increase in the cigarette tax. In a poll of 602 randomly selected California registered voters, 445 responded that they would have preferred the cigarette tax increase to the snack tax (Reno Gazette-Journal, August 26,1991 ). Estimate the true proportion of California registered voters who preferred the cigarette tax increase; use a \(95 \%\) confidence interval.

In an AP-AOL sports poll (Associated Press, December 18,2005 ), 394 of 1000 randomly selected U.S. adults indicated that they considered themselves to be baseball fans. Of the 394 baseball fans, 272 stated that they thought the designated hitter rule should either be expanded to both baseball leagues or eliminated. a. Construct a \(95 \%\) confidence interval for the proportion of U.S. adults that consider themselves to be baseball fans. b. Construct a \(95 \%\) confidence interval for the proportion of those who consider themselves to be baseball fans that think the designated hitter rule should be expanded to both leagues or eliminated. c. Explain why the confidence intervals of Parts (a) and (b) are not the same width even though they both have a confidence level of \(95 \%\).

According to an AP-Ipsos poll (June 15,2005 ), \(42 \%\) of 1001 randomly selected adult Americans made plans in May 2005 based on a weather report that turned out to be wrong. a. Construct and interpret a \(99 \%\) confidence interval for the proportion of Americans who made plans in May 2005 based on an incorrect weather report. b. Do you think it is reasonable to generalize this estimate to other months of the year? Explain.

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.