9. Auto Exhaust and Lead ExposureResearchers interested in lead exposure due to car exhaust sampled the bloodof 19 police officers subjected to constant inhalation of automobile exhaust fumeswhile working traffic enforcement in a primarily urban environment. The bloodsamples of these officers had an average lead concentration of 11.2µg/dl and aSD of 4.5µg/dl; a previous study of individuals from a nearby suburb, with nohistory of exposure, found an average blood level concentration of 7.2μg/dl.(a) Test the hypothesis that the downtown police officers have a higher leadexposure than the officers in the previous study. Be sure to interpret your resultsin context. a = = 0.05(b) Explicitly state and check all conditions necessary for inference on thisdata.(c) Based on your preceding result, without performing a calculation, woulda 90% confidence interval for this difference contain 0? Explain why or why not.

The question is about hypo. testing and confidence interval Given : Randomly selected no. of police…

Answered: 9. Auto Exhaust and Lead Exposure…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A report in LTO stated that the average age of taxis in the Philippines is 9 years. An operationsmanager of a large taxi company selects a sample of 40 taxis and finds the average age of the taxis is8.2 years. The standard population is 2.3 years. At can it be concluded that the average ageof the taxis in his company is less than the national average?
An analysis was conducted by the Statistics Consulting Center atVirginia Polytechnic Institute and State University in which acertain treatment was applied to a set of tree stumps. The chemicalGarlon was used the with the purpose of regenerating the roots ofthe stumps. A spray was used with four levels of GarlonPage 23 of 23concentration. After a period of time the height of the shoots wasobserved. Does the concentration of Garlon has a significantimpact on the height of the shoots? Use α = 0.05.
4.A new vitamin supplementation program is intended to decrease average resting heart rate inindividuals at risk for hypertension. Assume that a team of researchers are hopeful that restingheart rate in their population will get down to less than 68 bpm, in a population with a standarddeviation of 2 bpm. In order to test this goal reduction, the team gathers a SRS of 273participants in their program and calculates a sample average resting heart rate of 74 bpm.A) Carry out a one sample Z test to determine if the team can conclude that the supplementationprogram is successful in meeting their goal reduction in resting heart rate. Use an α=0.05.B) Construct a 95% Confidence interval about the sample mean, and interpret the result.
A report in LTO stated that the average age of taxis in the Philippines is 9 years. An operations manager of a large taxi company selects a sample of 40 taxis and finds the average age of the taxis is 8.2 years. The σ of the population is 2.3 years. At ? = 0.05, can it be concluded that the average age of the taxis in his company is less than the national average?
In a recent study, investigators were interested in examining the association between blood glucose concentration at hospital admission and mortality in the hospital among patients with Sepsis in 3 Ugandan hospitals. Patients were followed from admission to the hospital until the end of the study. The study population included 418 admitted adult patients. Among the 280 patients with hyperglycemia (defined as a glucose concentration of >6.1 mmol/L), 80 died within the hospital from severe sepsis. Among the 138 patients with hypoglycemia (defined as a glucose concentration of <4.4 mmol/L), 30 died within the hospital from severe sepsis. Assume there is minimal loss to follow-up and no competing risks. What study design is described above? Prospective open cohort study Prospective closed cohort study Retrospective open cohort study Retrospective closed cohort study Case control study
In a recent study, investigators were interested in examining the association between blood glucose concentration at hospital admission and mortality in the hospital among patients with Sepsis in 3 Ugandan hospitals. Patients were followed from admission to the hospital until the end of the study. The study population included 418 admitted adult patients. Among the 280 patients with hyperglycemia (defined as a glucose concentration of >6.1 mmol/L), 80 died within the hospital from severe sepsis. Among the 138 patients with hypoglycemia (defined as a glucose concentration of <4.4 mmol/L), 30 died within the hospital from severe sepsis. Assume there is minimal loss to follow-up and no competing risks. a.Fill out a 2 x 2 table based on the description provided above. Label your exposure and outcome, and provide respective totals based on the study design.
Suppose that 3000 drivers in Wakanda were randomly breath-tested on 21 April 2019 and 116 were above the limit of 0.05 blood- alcohol level. On 15 May 2019, 4000 drivers were tested and 98 were above this level. 1.3.1 What additional information would you require before trying to draw conclusion from these data? (5) 1.3.2 What factors, other than a real change in driver behaviours, could cause such a drop in the proportion of above-the-limit drivers. (6) 1.4 A set of data has an interquartile range of 20 and a lower quartile of 6. If the data is symmetrical, calculate the value of the median.
In this study, the protection of aquatic ecosystems is an important goal of Ville de Montréal. In particular, Thomas wants to see whether the contamination of creeks (ruisseaux in French) by Escherichia coli differs among the months of May, June, July, and August. Therefore, he randomly samples six creeks in different areas. For each creek, he collects water samples from May to August, and measures the amount of E. coli, expressed in colony forming units (CFU) per 100 mL of water. For each combination of a month and a creek, he thus obtains an E. coli contamination value, i.e., 24 observations in total. A preliminary statistical analysis produces the following results. 13-a) Does the mean E. coli contamination differ significantly among the four months? Justify your answer to this question with the result of a statistical test. Use α = 0.05. 13-b) Which pairs of months show significant differences in mean E. coli contamination? Explain your reasoning and justify your answer…
1. Is there any outliers among the 16 professor’s job satisfaction level? 2. Calculate the 95% CI to estimate the average job satisfaction level of the professor population, and interpret the 95% CI. 3. If you calculate a 99% CI instead of 95% CI, compare the differences between these two CIs in terms of range and interpretation.
In this study, the protection of aquatic ecosystems is an important goal of Ville de Montréal. In particular, Thomas wants to see whether the contamination of creeks (ruisseaux in French) by Escherichia coli differs among the months of May, June, July, and August. Therefore, herandomly samples six creeks in different areas. For each creek, he collects water samples from May to August, and measures the amount of E. coli, expressed in colony-forming units (CFU) per 100 mL of water. For each combination of a month and a creek, he thus obtains an E. coli contamination value, i.e., 24 observations in total. A preliminary statistical analysis produces the following results. Which pairs of months show significant differences in mean E. coli contamination? Explain your reasoning and justify your answer to this question with the results of a statistical procedure. Use α = 0.05.
In this study, the protection of aquatic ecosystems is an important goal of Ville de Montréal. In particular, Thomas wants to see whether the contamination of creeks (ruisseaux in French) by Escherichia coli differs among the months of May, June, July, and August. Therefore, herandomly samples six creeks in different areas. For each creek, he collects water samples from May to August, and measures the amount of E. coli, expressed in colony-forming units (CFU) per 100 mL of water. For each combination of a month and a creek, he thus obtains an E. coli contamination value, i.e., 24 observations in total. A preliminary statistical analysis produces the following results. Which pairs of months show significant differences in mean E. coli contamination? Explain your reasoning and justify your answer to this question with the results of a statistical procedure. Use α = 0.05. Data: May= 66, June= 104, July=105, August= 88
In this study, the protection of aquatic ecosystems is an important goal of Ville de Montréal. In particular, Thomas wants to see whether the contamination of creeks (ruisseaux in French) by Escherichia coli differs among the months of May, June, July, and August. Therefore, herandomly samples six creeks in different areas. For each creek, he collects water samples from May to August, and measures the amount of E. coli, expressed in colony-forming units (CFU) per 100 mL of water. For each combination of a month and a creek, he thus obtains an E. coli contamination value, i.e., 24 observations in total. A preliminary statistical analysis produces the following results. Part A: Does the mean E. coli contamination differ significantly among the four months? Justify your answer to this question with the result of a statistical test. Use α = 0.05. Part B:Which pairs of months show significant differences in mean E. coli contamination? Explain your reasoning and justify your answer to this…

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