6.19 In a seroepidemiologic survey of health workers representing a spectrum ofexposure to blood and patients with hepatitis B virus (HBV), it was found thatinfection increased as a function of contact. Table E6.19 provides data forhospital workers with uniform socioeconomic status at an urban teachinghospital in Boston, Massachusetts. Test to compare the proportions of HBVinfection between the four groups: physicians with frequent exposure, physi-cians with infrequent exposure, nurses with frequent exposure, and nurseswith infrequent exposure. State clearly your null and alternative hypothesesand choice of test size.TABLE E6.19PersonnelPhysiciansNursesExposureFrequentInfrequentFrequentInfrequentn8189104126HBV positive177212211

Given information: The data represents the observed counts of hepatitis B virus for the categories…

Answered: In a seroepidemiologic survey of health…

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 sample of men and women who had passed their driver's test either the first time or the second time were surveyed, with the following results: Results of the driving testGender First time Second timeMen 126 211Women 135 178a) Do these data suggest that there is a relationship between gender and the passing of their driver’s test from which the present sample was drawn? Let alpha=.05
For a set alpha level of .05, a predictor that has a p-value less than or equal to .05 suggests that variations in the predictor's value are related to changes in the outcome (response) variable. True or False
which of the following individuals is likely to be excluded from a clinical trial? a-individual with other diseases besides the disease of interest b-an individual whose data is considered to be an outlier c-an individual of who is considered to be a minority d-an individual who will have difficulty complying trial protocols.
The Cambridge Study in Delinquent Development was under- taken in north London to investigate the links between criminal behavior in young men and the socioeconomic factors of their upbringing. A cohort of 395 boys was followed for about 20 years, starting at the age of 8 or 9. The following table shows the total number of criminal convictions by the boys between the start and end of the study. Number of convictions(x) Frequency(f) 0 265 1 49 2 21 3 19 4 10 5 10 6 2 7 2 8 4 9 2 10 1 11 4 12 3 13 1 14 2 Is it unimodal or bimodal? Are there outliers in the number of convictions? Calculate the interquartile range of the number of convictions. P.S.Your team had calculated median as 1 and mode as 0
Suppose that, as part of a research methods class, Bailey was asked to write a summary of a research paper on the topic of the effects of oil contamination in soil on seed germination rates. Identify the explanatory and the response variables.
A paper investigated the driving behavior of teenagers by observing their vehicles as they left a high school parking lot and then again at a site approximately 1 2 mile from the school. Assume that it is reasonable to regard the teen drivers in this study as representative of the population of teen drivers. Amount by Which Speed Limit Was Exceeded MaleDriver FemaleDriver 1.3 -0.1 1.3 0.4 0.9 1.1 2.1 0.7 0.7 1.1 1.3 1.2 3 0.1 1.3 0.9 0.6 0.5 2.1 0.5 (a) Use a .01 level of significance for any hypothesis tests. Data consistent with summary quantities appearing in the paper are given in the table. The measurements represent the difference between the observed vehicle speed and the posted speed limit (in miles per hour) for a sample of male teenage drivers and a sample of female teenage drivers. (Use μmales − μfemales.Round your test statistic to two decimal places. Round your degrees of freedom down to the nearest whole number. Round your p-value to…
An article reported data from a study in which both a baseline gasoline mixture and a reformulated gasoline were used. Consider the following observations on age (yr) and NOx emissions (g/kWh): Engine 1 2 3 4 5 6 7 8 9 10 Age 0 0 2 11 7 16 9 0 12 4 Baseline 1.74 4.38 4.04 1.23 5.30 0.58 3.35 3.44 0.73 1.23 Reformulated 1.85 5.93 5.52 2.67 6.54 0.76 4.94 4.87 0.69 1.39 Construct scatter plots of the baseline NOx emissions versus age. Construct scatter plots of the reformulated NOx emissions versus age. What appears to be the nature of the relationship between these two variables? As age increases, emissions also increase.As age increases, emissions decrease. There is no compelling relationship between the data.
A paper investigated the driving behavior of teenagers by observing their vehicles as they left a high school parking lot and then again at a site approximately 1 2 mile from the school. Assume that it is reasonable to regard the teen drivers in this study as representative of the population of teen drivers. Amount by Which Speed Limit Was Exceeded MaleDriver FemaleDriver 1.2 -0.1 1.4 0.4 0.9 1.1 2.1 0.7 0.7 1.1 1.3 1.2 3 0.1 1.3 0.9 0.6 0.5 2.1 0.5 (a) Use a .01 level of significance for any hypothesis tests. Data consistent with summary quantities appearing in the paper are given in the table. The measurements represent the difference between the observed vehicle speed and the posted speed limit (in miles per hour) for a sample of male teenage drivers and a sample of female teenage drivers. (Use μmales − μfemales.Round your test statistic to two decimal places. Round your degrees of freedom down to the nearest whole number. Round your p-value to…
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A study carried out to investigate the distribution of totalbraking time (reaction time plus accelerator-to-brake movementtime, in ms) during real driving conditions at 60 km/hr gave the following summary information on the distributionof times (“A Field Study on Braking ResponsesDuring Driving,” Ergonomics, 1995: 1903–1910):mean 5 535 median 5 500 mode 5 500sd 5 96 minimum 5 220 maximum 5 9255th percentile 5 400 10th percentile 5 43090th percentile 5 640 95th percentile 5 720What can you conclude about the shape of a histogramof this data? Explain your reasoning.
The following data are from a random sample of 10 students who participated in a study undertaken to investigate the effect of sleep time (measured in average number of hours of sleep per night) on GPA (grade point average, measured on a 4-point scale). Student Sleep time GPA 1 7 3.28 2 9 3.16 3 8 3.75 4 6 2.50 5 4 2.45 6 8 2.91 7 7 3.53 8 6 3.02 9 3 2.30 10 8 3.48 a. Find the equation between GPA (y) as function of sleep time (x). b. What is the estimated GPA of a student who averages 5 hours of sleep per night? c. What is the coefficient of determination? *(no use EXCEL)
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