MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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- We would like to compute a 98% confidence interval on the proportion of CBC students that will be transferring to a 4 year college or university after their time at CBC. The current proportion is unknown and we would like an error of no more than 1.5% in the estimate. How large of a sample needs to be taken?arrow_forwardPart 1 of 3 A researcher was investigating the size of math departments in Texas colleges. She believed the population standard deviation was 1.9. A sample of 42 colleges found their mean was 12.5. Find the 3-decimal small value of the 95% confidence interval of the mean. Part 2 of 3: Find the 3-decimal large value of the 95% confidence interval of the mean. Part 3 of 3: Find the 3-decimal margin of errorarrow_forwardSuppose we know that a confidence interval for a population proportion is (0.105,0.355), with a sample proportion of p̂=0.23. What is the margin of error?arrow_forward
- Suppose a new treatment for a certain disease is given to a sample of 180 patients. The treatment was successful for 153of the patients. Assume that these patients are representative of the population of individuals who have this disease. Calculate a 98% confidence interval for the proportion successfully treated. (Round the answers to three decimal places.)arrow_forwardSuppose you are planning an experiment and a sample has yet been selected. For this experiment you plan on taking a SRS of 50 mice with pancreatic cancer measuring a particular hormone level. What would be the impact on a 95% confidence interval calculated from the experiment on these mice if instead of a SRS of 50 mice, a SRS of 200 mice were taken?arrow_forwardIn a large scale study of energy conservation in single family homes, 20 homes were randomly selected from homes built in a housing development in southern England. Ten of the houses, randomly selected from the 20 houses selected for the study, were constructed with standard levels of insulation (70 mm of roof insulation and 50 mm of insulation in the walls). The other 10 houses were constructed with extra insulation (120 mm of roof insulation and 100 mm of insulation in the walls). Each house was heated with a gas furnace and energy consumption was monitored for eight years. The data shown below give annual gas consumption in MWh for each of the 20 houses. Standard Insulation Extra Insulation 13.8 15.1 17.8 13.9 18.0 15.9 17.3 17.2 16.9 15.2 19.9 13.8 13.6 11.3 17.6 13.2 15.9 18.8 12.3 14.0 Sample means Sample Standard Deviation 16.31 14.84 2.38 2.12arrow_forward
- Suppose that you are interested in the number of people in each household in the U.S. Your sample includes 10 households, with a mean 2.5 and a standard deviation 1.2. Construct a 95% confidence interval (CI) of the mean number of household members. (A) 1.2-3.8 (B) 1.4-3.6 (C)1.6-3.4 (D) 1.7-3.3 (E) 1.8-3.2arrow_forwardA sample of size n=77 is drawn from a population whose standard deviation is 0= 33. Part 1 of 2 (a) Find the margin of error for a 95% confidence interval for µ. Round the answer to at least three decimal places. The margin of error for a 95% confidence interval for µ is Part 2 of 2 (b) If the confidence level were 90%, would the margin of error be larger or smaller? (Choose one) ▼ because the confidence level is (Choose one) ▼arrow_forwardA sample of size n=89 is drawn from a population whose standard deviation is a 16. Part 1 of 2 (a) Find the margin of error for a 90% confidence interval for μ. Round the answer to at least three decimal places. The margin of error for a 90% confidence interval for μ is. Part 2 of 2 (b) If the sample size were n=87, would the margin of error be larger or smaller? (Choose one) , because the sample size is (Choose one)arrow_forward
- From chapter 14, review activity #19. A recent survey of 200 households showed that 8 had a single male as the head of the household. Forty years ago, a survey of 200 households showed that 6 had a single male as the head of the household. Car it be concluded that the proportion has changed, based on a 95% confidence interval? Recall the confidence interval is calculated as (-0.0261, 0.0461) A) Yes, the proportion changed since 0 is in the interval. B) Yes, the proportion changed since O is NOT in the interval. C) No, the proportion did not change since 0 is in the interval. D) No, the proportion did not change since 0 is NOT in the interval. E) We cannot determine the conclusion from the confidence intervalarrow_forwardAccording to a Field Poll, 263 out of 569 of California adults feel that "education and our schools" is one of the top issues facing California. We wish to construct a 90% confidence interval for the true proportion of California adults who feel that education and the schools is one of the top issues facing California. The error bound is ___________ rounded to 4 decimal places.arrow_forward
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