/*! 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} Q40BB One-Sided Confidence Interval A ... [FREE SOLUTION] | 91影视

91影视

One-Sided Confidence Interval A one-sided claim about a population proportion is a claim that the proportion is less than (or greater than) some specific value. Such a claim can be formally addressed using a one-sided confidence interval for p, which can be expressed as \(p < \hat p - E\)or\(p > \hat p + E\), where the margin of error E is modified by replacing \({z_{\frac{\alpha }{2}}}\)with\({z_\alpha }\). (Instead of dividing a between two tails of the standard normal distribution, put all of it in one tail.) The Chapter Problem refers to a Gallup poll of 1487 adults showing that 43% of the respondents have Facebook pages. Use that data to construct a one-sided 95% confidence interval that would be suitable for helping to determine whether the proportion of all adults having Facebook pages is less than 50%.

Short Answer

Expert verified

The 95% one-sided confidence interval is \(p < 0.409\).

There is sufficient evidence that the proportion of all adults having Facebook pages is less than 50%, as the upper limit of the confidence interval is less than 0.5.

Step by step solution

01

Given information

In a survey of 1487 adults, 43% of them have Facebook pages. It is claimed that less than 50% of adults have Facebook pages.

02

Confidence interval estimate of the population proportion

The following formula of the confidence interval is used:

\(p < \hat p - E\)

Here, E is the margin of error and has the following formula:

\(E = {z_\alpha } \times \sqrt {\frac{{\hat p\hat q}}{n}} \)where

\(\hat p\)is the sample proportion of adults who have Facebook pages

\(\hat q\)is the sample proportion of adults who do not have Facebook pages

n is the sample size

\({z_\alpha }\) is the one-tailed critical value of z.

03

Sample size and sample proportions

The sample size (n) is equal to 1487.

The sample proportion ofadults who have Facebook pages is equal to:

\(\begin{array}{c}\hat p = 43\% \\ = \frac{{43}}{{100}}\\ = 0.43\end{array}\)

The sample proportion of adults who do not have Facebook pages is equal to:

\(\begin{array}{c}\hat q = 1 - \hat p\\ = 1 - 0.43\\ = 0.57\end{array}\)

04

Step 4:Find the margin of error

The value of \(\alpha \) is equal to 0.05.

Thus, \({z_\alpha }\) is equal to 1.645.

The margin of error can be computed as shown below:

\(\begin{array}{c}E = {z_\alpha } \times \sqrt {\frac{{\hat p\hat q}}{n}} \\ = 1.645\; \times \sqrt {\frac{{0.43 \times 0.57}}{{1487}}} \\ = 0.0211\end{array}\) \(\)

05

Find the confidence interval

The one-sided confidence interval is computed below:

\(\begin{array}{c}p < \hat p - E\\ < 0.43 - 0.211\\ < 0.409\end{array}\)

Here, it can be observed that the population proportion of adults having Facebook pages is less than 0.409 or 40.9%.

Therefore, the given claim that the proportion of adults having Facebook pages is less than 50% is supported.

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 91影视!

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

In Exercises 29鈥36, answer the given questions, which are related to percentages.

Chillax USA Today reported results from a Research Now for Keurig survey in which 1458 men and 1543 women were asked this: 鈥淚n a typical week, how often can you kick back and relax?鈥

a. Among the women, 19% responded with 鈥渞arely, if ever.鈥 What is the exact value that is 19% of the number of women surveyed?

b. Could the result from part (a) be the actual number of women who responded with 鈥渞arely, if ever鈥? Why or why not?

c. What is the actual number of women who responded with 鈥渞arely, if ever鈥?

d. Among the men who responded, 219 responded with 鈥渞arely, if ever.鈥 What is the percentage of men who responded with 鈥渞arely, if ever.鈥?

e. Consider the question that the subjects were asked. Is that question clear and unambiguous so that all respondents will interpret the question the same way? How might the survey be improved?

Statistical Significance and Practical Significance. In Exercises 13鈥16, determine whether the results appear to have statistical significance, and also determine whether the results appear to have practical significance.

Gender Selection In a study of the Gender Aide method of gender selection used to increase the likelihood of a baby being born a girl, 2000 users of the method gave birth to 980 boys and 1020 girls. There is about a 19% chance of getting that many girls if the method had no effect.

In Exercises 17鈥20, refer to the sample of body temperatures (degrees Fahrenheit) in the table below. (The body temperatures are from a data set in Appendix B.)


12345
8 AM9798.597.697.798.7
12 AM97.697.89898.498.4

Conclusion Given the body temperatures in the table, what issue can be addressed by conducting a statistical analysis of the data.

In Exercises 9鈥12, determine whether the sampling method appears to be sound or is flawed.

Credit Card Payments In an AARP, Inc. survey of 1019 randomly selected adults, each was asked how much credit card debt he or she pays off each month.

Correlation. One study showed that for a recent period of 11 years, there was a strong correlation (or association) between the numbers of people who drowned in swimming pools and the amounts of power generated by nuclear power plants (based on data from the Centers for Disease Control and Prevention and the Department of Energy). Does this imply that increasing power from nuclear power plants is the cause of more deaths in swimming pools? Why or why not?

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.