Suppose that 168 out of a random sample of 225 letters mailed in the United States were delivered the day after they were mailed. Based on this, compute a99% confidence interval for the proportion of all letters mailed in the United States that were delivered the day after they were mailed. Then find the lower limitand upper limit of the 99% confidence interval.Carry your intermediate computations to at least three decimal places. Round your answers to two decimal places. (If necessary, consult a list of formulas.)Lower limit: ||?Upper limit:

Answered: Image /qna-images/answer/f0597efd-934f-4071-a9b0-083ab6ed5b4b.jpg

Answered: Suppose that 168 out of a random sample…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

See similar textbooks

Similar questions

Suppose that 287 out of a random sample of 350 letters mailed in the United States were delivered the day after they were mailed. Based on this, compute a 99% confidence interval for the proportion of all letters mailed in the United States that were delivered the day after they were mailed. Complete the following: A. What is the lower limit of the 99% confidence interval? B. What is the upper limit of the 99% confidence interval?
Suppose that 243 out of a random sample of 325 letters mailed in the United States were delivered the day after they were mailed. Based on this, compute a 95% confidence interval for the proportion of all letters mailed in the United States that were delivered the day after they were mailed. Then find the lower limit and upper limit of the 95% confidence interval.
From a random sample of 1000 houses in a city, it is found that 628 houses use natural gas heating. - Create a 98% confidence interval for the proportion of houses in the city that use natural gas heating - How large a sample is needed if we want to believe 98% that the proportion of the sample found lies within a distance of no more than 0.05 from the true proportion?
A sociologist is interested in surveying workers in computer-related jobs to estimate the proportion of such workers who have changed jobs within the past year. a) In the absence of preliminary data, how large a sample must be taken to ensure that a 95% confidence interval will specify the proportion to within ±0.05? b) In a sample of 100 workers, 20 of them had changed jobs within the past year. Find a 95% confidence interval for the proportion of workers who have changed jobs within the past year. c) Based on the data in part (b), estimate the sample size needed so that the 95% confidence interval will specify the proportion to within ±0.05.
A new television series must prove that it has more than 25% of the viewing audience after its initial 13-week run in order to be judged successful. Assume that in a sample of 400 households, 112 were watching the series. (b) Find a 99% confidence interval for the proportion of the viewing audience after its initial 13-week run
A soft-drink manufacturer purchases aluminum cans from an outside vendor. A random sample of 70 cans is selected from a large shipment, and each is tested for strength by applying an increasing load to the side of the can until it punctures. Of the 70 cans, 59 meet the specification for puncture resistance. (d) If a 90% confidence interval is computed each day for 300 days, what is the probability that more than 280 of the confidence intervals cover the true proportions?
A sociologist is interested in surveying workers in computer-related jobs to estimate the proportion of such workers who have changed jobs within the past year. In the absence of preliminary data, how large a sample must be taken to ensure that a 95% confidence interval will specify the proportion to within ±0.02? Round up the answer to the nearest integer.
In a sample of 225 college seniors, 189 responded positively when asked if they have spring fever. Based upon this, compute a 95% confidence interval for the proportion of all college seniors who have spring fever. Carry the intermediate computations to at least three decimal places. Round the answers to two decimal places. (a) What is the lower limit of the 95% confidence interval? (b) What is the upper limit of the 95% confidence interval?
An investigator computes a 95% confidence interval for a population mean on the basis of a sample of size 70. If she wishes to compute a 95% confidence interval that is half as wide, how large a sample does she need?
In a sample of 325 college seniors, 263 responded positively when asked if they have spring fever. Based upon this, compute a 95% confidence interval for the proportion of all college seniors who have spring fever. Then find the lower limit and upper limit of the 95% confidence interval.
Suppose that in a random sample of 500 employed Americans, there are 44 individuals who say that they would fire their boss if they could. Calculate a 90% confidence interval for the population proportion who would fire their boss if they could. (Round the answers to three decimal places.) to You may need to use the appropriate table in the Appendix of Tables to answer this question.
Suppose that in a sample of 4876customers at a food store, 2654food shop more than once a week. Find a 90% confidence interval for the population proportion of customers who shop more than once a week. Interpret your answer. b) A claim is made that 52% of all customers at a food store shop more than once a week. Using the results from part (a) of this problem, would this claim be valid or invalid?

SEE MORE QUESTIONS

Recommended textbooks for you

A First Course in Probability (10th Edition)

Probability

ISBN:

9780134753119

Author:

Sheldon Ross

Publisher:

PEARSON

A First Course in Probability

Probability

ISBN:

9780321794772

Author:

Sheldon Ross

Publisher:

PEARSON

A First Course in Probability (10th Edition)

Probability

ISBN:

9780134753119

Author:

Sheldon Ross

Publisher:

PEARSON

A First Course in Probability

Probability

ISBN:

9780321794772

Author:

Sheldon Ross

Publisher:

PEARSON

SEE MORE TEXTBOOKS