Warning: foreach() argument must be of type array|object, bool given in /var/www/html/web/app/themes/studypress-core-theme/template-parts/header/mobile-offcanvas.php on line 20

Determine the confidence level for each of the following large-sample one-sided confidence bounds:

\(\begin{array}{l}{\rm{a}}{\rm{.Upperbound:\bar x + }}{\rm{.84s/}}\sqrt {\rm{n}} \\{\rm{b}}{\rm{.Lowerbound:\bar x - 2}}{\rm{.05s/}}\sqrt {\rm{n}} \\{\rm{c}}{\rm{.Upperbound:\bar x + }}{\rm{.67\;s/}}\sqrt {\rm{n}} \end{array}\)

Short Answer

Expert verified

The confidence level are:

a) \({\rm{79}}{\rm{.95\% }}\)

b) \({\rm{97}}{\rm{.98\% }}{\rm{.}}\)

c) \({\rm{74}}{\rm{.86\% }}\)

Step by step solution

01

Given by

For large n, the standardized random variable

\({\rm{Z - }}\frac{{{\rm{\bar X - \mu }}}}{{{\rm{S/}}\sqrt {\rm{n}} }}\)

has approximately a normal distribution with expectation \(0\) and standard deviation \(1\). Therefore, a

large-sample confidence interval for\({\rm{\mu }}\)

\({\rm{\bar x \pm }}{{\rm{z}}_{{\rm{\alpha /2}}}}{\rm{ \times }}\frac{{\rm{s}}}{{\sqrt {\rm{n}} }}\)

with confidence level of approximately \({\rm{100(1 - \alpha )\% }}\)This stands regardless the population distribution.

By replacing \({{\rm{z}}_{{\rm{\alpha /2}}}}{\rm{ with }}{{\rm{z}}_{\rm{\alpha }}}\)

the large-sample upper confidence bound for \({\rm{\mu }}\)and the large-sample lower confidence bound for \({\rm{\mu }}\)are obtained.

02

To Determine the confidence level for \({\rm{Upperbound:\bar x + }}{\rm{.84s/}}\sqrt {\rm{n}} \)

(a) Given upper bound:

\({\rm{\bar x + 0}}{\rm{.84}}\frac{{\rm{s}}}{{\sqrt {\rm{n}} }}\)

from

\({{\rm{z}}_{\rm{\alpha }}}{\rm{ - 0}}{\rm{.84,}}\)

where, in this case, the following holds

\(P\left({Z£{z_\alpha}}\right)- 1-\alpha n\& P\left({Z£{z_\alpha}}\right)- P(Z£0.84)\mathop-\limits^{(1)} \Phi (0.94) - 0.7995\)

therefore,

\({\rm{\alpha - 1 - 0}}{\rm{.7995 - 0}}{\rm{.2005}}\)

and the confidence level is

\({\rm{0}}{\rm{.7995 = 79}}{\rm{.95\% }}\)

(1) : from the normal probability table in the appendix. The probability can also be computed with a software.

On the graph you can see the area of \({\rm{1 - \alpha }}\)and the confidence level.

Hence the confidence level is \({\rm{79}}{\rm{.95\% }}\)

03

To Determine the confidence level for \({\rm{Lowerbound:\bar x - 2}}{\rm{.05s/}}\sqrt {\rm{n}} \)

(b) Given lower bound:

\({\rm{\bar x - 2}}{\rm{.05}}\frac{{\rm{s}}}{{\sqrt {\rm{n}} }}\)

from

\({{\rm{z}}_{\rm{a}}}{\rm{ - 2}}{\rm{.05}}\)

where, in this case, the following holds

\(P\left( {Z£{z_\alpha }} \right) - 1 - \alpha n\& P\left( {Z£{z_\alpha }} \right) - P(Z£2.05)\mathop- \limits^{(1)} \Phi (2.05) - 0.9798\)

therefore,

\({\rm{\alpha - 1 - 0}}{\rm{.9798 - 0}}{\rm{.0202}}\)

and the confidence level is

\({\rm{0}}{\rm{.9798 = 97}}{\rm{.98\% }}{\rm{.}}\)

(1) : from the normal probability table in the appendix. The probability can also be computed with a software.

On the graph you can see the area of \({\rm{1 - \alpha }}\)and the confidence level.

Hence the confidence level is \({\rm{97}}{\rm{.98\% }}{\rm{.}}\)

04

To Determine the confidence level for \({\rm{Upperbound:\bar x + }}{\rm{.67\;s/}}\sqrt {\rm{n}} \)

(c) Given upper bound:

\({\rm{\bar x + 0}}{\rm{.67}}\frac{{\rm{s}}}{{\sqrt {\rm{n}} }}\)

from

\({{\rm{z}}_{\rm{\alpha }}}{\rm{ - 0}}{\rm{.67,}}\)

where, in this case, the following holds

\(P\left( {Z£{z_\alpha }} \right) - 1 - \alpha n\& P\left( {Z£{z_\alpha }} \right) - P(Z£0.67)\mathop - \limits^{(1)} \Phi (0.67) - 0.7486\)

therefore,

\({\rm{\alpha - 1 - 0}}{\rm{.7486 - 0}}{\rm{.2514}}\)

and the confidence level is

\({\rm{0}}{\rm{.7486 = 74}}{\rm{.86\% }}\)

(1) : from the normal probability table in the appendix. The probability can also be computed with a software.

On the graph you can see the area of \({\rm{1 - \alpha }}\)and the confidence level.

Hence the confidence level is \({\rm{74}}{\rm{.86\% }}\)

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 Vaia!

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

TV advertising agencies face increasing challenges in reaching audience members because viewing TV programs via digital streaming is gaining in popularity. The Harris poll reported on November 13, 2012, that 53% of 2343 American adults surveyed said they have watched digitally streamed TV programming on some type of device.

a. Calculate and interpret a confidence interval at the 99% confidence level for the proportion of all adult Americans who watched streamed programming up to that point in time.

b. What sample size would be required for the width of a 99% CI to be at most .05 irrespective of the value of p ˆ?

The article “Gas Cooking, Kitchen Ventilation, and Exposure to Combustion Products” reported that for a sample of 50 kitchens with gas cooking appliances monitored during a one week period, the sample mean CO2 level (ppm) was \({\rm{654}}{\rm{.16}}\), and the sample standard deviation was \({\rm{164}}{\rm{.43}}{\rm{.}}\)

a. Calculate and interpret a \({\rm{95\% }}\) (two-sided) confidence interval for true average CO2 level in the population of all homes from which the sample was selected.

b. Suppose the investigators had made a rough guess of \({\rm{175}}\) for the value of s before collecting data. What sample size would be necessary to obtain an interval width of ppm for a confidence level of \({\rm{95\% }}\)

Wire electrical-discharge machining (WEDM) is a process used to manufacture conductive hard metal components. It uses a continuously moving wire that serves as an electrode. Coating on the wire electrode allows for

cooling of the wire electrode core and provides an improved cutting performance. The article “HighPerformance Wire Electrodes for Wire ElectricalDischarge Machining—A Review” gave the following sample observations on total coating layer thickness (in mm) of eight wire electrodes used for

WEDM: \({\rm{21 16 29 35 42 24 24 25}}\)

Calculate a \({\rm{99\% }}\)CI for the standard deviation of the coating layer thickness distribution. Is this interval valid whatever the nature of the distribution? Explain.

a.Use the results of Example 7.5 to obtain a 95% lower confidence bound for the parameter λ of an exponential distribution, and calculate the bound based on the data given in the example.

b.If lifetime X has an exponential distribution, the probability that lifetime exceeds t is P(X>t) = e-λt. Use the result of part (a) to obtain a 95% lower confidence bound for the probability that breakdown time exceeds 100 min.

The U.S. Army commissioned a study to assess how deeply a bullet penetrates ceramic body armor. In the standard test, a cylindrical clay model is layered under the armor vest. A projectile is then fired, causing an indentation in the clay. The deepest impression in the clay is measured as an indication of survivability of someone wearing the armor. Here is data from one testing organization under particular experimental conditions; measurements (in mm) were made using a manually controlled digital caliper:

\(\begin{array}{l}{\rm{22}}{\rm{.4 23}}{\rm{.6 24}}{\rm{.0 24}}{\rm{.9 25}}{\rm{.5 25}}{\rm{.6 25}}{\rm{.8 26}}{\rm{.1 26}}{\rm{.4 26}}{\rm{.7 27}}{\rm{.4 27}}{\rm{.6 28}}{\rm{.3 29}}{\rm{.0}}\\{\rm{ 29}}{\rm{.1 29}}{\rm{.6 29}}{\rm{.7 29}}{\rm{.8 29}}{\rm{.9 30}}{\rm{.0 30}}{\rm{.4 30}}{\rm{.5 30}}{\rm{.7 30}}{\rm{.7 31}}{\rm{.0 31}}{\rm{.0 31}}{\rm{.4 31}}{\rm{.6 31}}{\rm{.7 31}}{\rm{.9 31}}{\rm{.9 }}\\{\rm{32}}{\rm{.0 32}}{\rm{.1 32}}{\rm{.4 32}}{\rm{.5 32}}{\rm{.5 32}}{\rm{.6 32}}{\rm{.9 33}}{\rm{.1 33}}{\rm{.3 33}}{\rm{.5 33}}{\rm{.5 33}}{\rm{.5 33}}{\rm{.5 33}}{\rm{.6 33}}{\rm{.6 33}}{\rm{.8 33}}{\rm{.9 }}\\{\rm{34}}{\rm{.1 34}}{\rm{.2 34}}{\rm{.6 34}}{\rm{.6 35}}{\rm{.0 35}}{\rm{.2 35}}{\rm{.2 35}}{\rm{.4 35}}{\rm{.4 35}}{\rm{.4 35}}{\rm{.5 35}}{\rm{.7 35}}{\rm{.8 36}}{\rm{.0 36}}{\rm{.0 36}}{\rm{.0 36}}{\rm{.1 36}}{\rm{.1 }}\\{\rm{36}}{\rm{.2 36}}{\rm{.4 36}}{\rm{.6 37}}{\rm{.0 37}}{\rm{.4 37}}{\rm{.5 37}}{\rm{.5 38}}{\rm{.0 38}}{\rm{.7 38}}{\rm{.8 39}}{\rm{.8 41}}{\rm{.0 42}}{\rm{.0 42}}{\rm{.1 44}}{\rm{.6 48}}{\rm{.3 55}}{\rm{.0}}\end{array}\)

a. Construct a box plot of the data and comment on interesting features.

b. Construct a normal probability plot. Is it plausible that impression depth is normally distributed? Is a normal distribution assumption needed in order to calculate a confidence interval or bound for the true average depth m using the foregoing data? Explain.

c. Use the accompanying Minitab output as a basis for calculating and interpreting an upper confidence bound for m with a confidence level of\({\rm{99\% }}\)

Variable Count Mean SE Mean StDev Depth\({\rm{83 33}}{\rm{.370 0}}{\rm{.578 5}}{\rm{.268}}\)

Q1 Median Q3 IQR

\({\rm{30}}{\rm{.400 33}}{\rm{.500 36}}{\rm{.000 5}}{\rm{.600}}\)

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.

Sign-up for free