14.24 Antibiotic Resistance. According to CDC estimates, at least 2.8 millionpeople in the United States are sickened each year with antibiotic-resistantinfections, and at least 35,000 die as a result. Antibiotic resistance occurs whendisease-causing microbes become resistant to antibiotic drug therapy. Becausethis resistance is typically genetic and transferred to the next generations ofmicrobes, it is a very serious public health problem. Of the infections consideredmost serious by the CDC, gonorrhea has an estimated 1.14 million new casesoccurring annually, and approximately 50% of those cases are resistant to anyantibiotic. A public health clinic in California sees eight patients with gonorrheain a given week.a. What is the distribution of X, the number of these eight cases that areresistant to any antibiotic?b. What are the mean and standard deviation of X?c. Find the probability that exactly one of the cases is resistant to anyantibiotic. What is the probability that at least one case is resistant to anyantibiotic? (Hint: It is easier to first find the probability that exactly zero ofthe eight cases were resistant.)

GivenThe percentage of new gonorrhea cases which are resistant to any antibiotic p=50% or 0.5 The…

Answered: 14.24 Antibiotic Resistance. According…

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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The Joint Commission on Accreditation of Healthcare Organizations mandated that hospitals ban smoking by 1994. To study the effects of this ban on smoking behaviors, subjects were randomly selected from two different populations: those from hospitals with the ban and those from hospitals without the ban. Investigators were interested in determining if this smoking ban had any impact on the proportion of smokers employed at each hospital that then quit smoking. Among 843 smoking employees of hospitals with the smoking ban, 56 quit smoking during the study period. Among 703 smoking employees from workplaces without the smoking ban, 27 quit smoking during the study period. Below is the Stata output that was run to determine if there was a statistically significant difference between these two proportions at the α=0.05 level. A. What is the estimate of the proportion of smokers from the hospitals that implemented the ban that quit smoking (the blank labeled "C" in the above output)?…
In a two-sample t test with sample sizes of 30 in each sample, there are 28 degrees of freedom Question 2 options: True False
As products come off a large assembly line, they are inspected for quality. They are placed into one of three categories: pass, fail, or need additional inspection. The manager claims that 80% of the products pass the inspection, 5% fail, and 15% need additional inspection. In an effort to increase the passing rate, the machines are recalibrated. After this recalibration, a random sample of 100 products is selected. It is discovered that 85 passed inspection, 2 failed, and 13 needed additional inspection. The manager would like to know if there is convincing evidence that the distribution has changed. What is the value of the chi-square test statistic and P-value? Find the chi-square table here. χ2 = 2.38, P-value is less than 0.0005 χ2 = 2.38, P-value is greater than 0.25 χ2 = 5.10, P-value is less than 0.0005 χ2 = 5.10, P-value is greater than 0.25
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9. Auto Exhaust and Lead Exposure Researchers interested in lead exposure due to car exhaust sampled the blood of 19 police officers subjected to constant inhalation of automobile exhaust fumes while working traffic enforcement in a primarily urban environment. The blood samples of these officers had an average lead concentration of 11.2µg/dl and a SD of 4.5µg/dl; a previous study of individuals from a nearby suburb, with no history of exposure, found an average blood level concentration of 7.2μg/dl. (a) Test the hypothesis that the downtown police officers have a higher lead exposure than the officers in the previous study. Be sure to interpret your results in context. a = = 0.05 (b) Explicitly state and check all conditions necessary for inference on this data. (c) Based on your preceding result, without performing a calculation, would a 90% confidence interval for this difference contain 0? Explain why or why not.
1. A developmental psychologist would like to determine how much fine motor skill changes for children from age 3 to age 5. He takes a random sample of 9 three-year old children and gives each a manual dexterity test that measures fine motor skill. He tests these same children one and two years later, when they are each four- and five-years old. Higher scores on this test indicate better fine motor skills. Is there a significant difference in the motor skills at these ages? Test with an α = 0.01 and show ANOVA SPSS output.
The paper "Lessons from Pacemaker Implantations" gave the results of a study that followed 89 heart patients who had received electronic pacemakers. The time (in months) to the first electrical malfunction of the pacemaker was summarized in the table below. 16 28 31 14 23 33 11 10 22 33 26 16 15 27 29 26 26 7 15 16 5 17 18 6 19 10 6 20 6 18 23 12 24 19 21 24 27 13 23 16 11 34 16 14 18 17 22 25 26 28 26 4 13 28 9 16 29 15 16 7 27 18 21 3 14 22 35 10 14 28 18 25 8 7 5 26 24 25 15 28 9 24 4 10 13 18 19 11 13 (a) Fill in the following table. (Round your answer to four decimal places if needed.) Classes Frequency Relative Frequency Cumulative Relative Frequency 0 - <6 6 - <12 12 - <18 18 - <24 24 - <30 30…
The paper "Lessons from Pacemaker Implantations" gave the results of a study that followed 89 heart patients who had received electronic pacemakers. The time (in months) to the first electrical malfunction of the pacemaker was summarized in the table below. 21 14 23 14 4 28 13 17 17 31 4 2 10 10 26 16 28 16 24 13 22 29 14 29 21 14 24 24 9 30 29 17 9 26 7 24 17 18 23 20 26 24 25 34 24 15 28 11 28 20 25 6 8 13 18 13 12 15 23 27 15 32 15 10 24 19 7 7 10 22 25 18 12 23 20 18 9 8 26 27 4 18 10 16 19 11 14 2 20 (a) Fill in the following table. (Round your answer to four decimal places if needed.) Classes Frequency Relative Frequency Cumulative Relative Frequency 0 - <6 6 - <12 12 - <18 18 - <24 24 - <30 30 - <36 (b) Use the cumulative relative frequencies to give approximate answers to the following questions. (Round your answer to four decimal places if needed.) i. What proportion of…
2) The rabies vaccine for dogs can save your dog's life. If your dog bites another animal or is on the receiving end of a bite, the vaccine can protect them from a dangerous and potentially fatal illness. Furthermore, in most places, the rabies vaccine for dogs is legally required. The NYC Department of Health wants to know if LESS than 95% of the dogs in the city have been vaccinated with their rabies vaccine. 158,045 of the 165,000 dogs examined had their rabies shots. Risk no more than 5% Type I error. What is the P^? (round to nearest thousandth)
The fecal occult blood test, widely used both in physicians’ offices and at home to screen patients for colon and rectal cancer, examines a patient’s stool sample for blood, a condition indicating that cancer may be present. A recent study funded by the National Cancer Institute found that of 15,000 people tested on an annual basis, 10% were found to have blood in their stools. These 10% underwent further testing, including colonoscopy, the insertion of an optical-fiber tube through the rectum in order to inspect the colon and rectum visually for direct indications of cancer. Only 2.5% of those having colonoscopy actually had cancer. Additional information in the study suggests that, of the patients who were tested, approximately 5 out of 1,000 tested negative (no blood in the stool) but eventually did develop cancer. Create a probability table that shows the relationship between blood in a stool sample and colorectal cancer. Calculate P(Cancer|Blood) and P(Cancer|No Blood). The study…
In August and September 2005 , Hurricanes Katrina and Rita caused extraordinary flooding in New Orleans, Louisiana. Many homes were severely damaged or destroyed, and of those that survived, many required extensive cleaning. It was thought that cleaning flood-damaged homes might present a health hazard due to the large amounts of mold present in many of the homes. In a sample of 350 residents of Orleans Parish who had participated in the cleaning of one or more homes, 50 had experienced symptoms of wheezing, and in a sample of 176 residents who had not participated in the cleaning, 42 reported wheezing symptoms (numbers read from a graph). Can you conclude that there is a difference between the proportion of residents with wheezing symptoms who cleaned flood-damaged homes and those who did not participate in the cleaning? Let p1 denote the proportion of residents with wheezing symptoms who had cleaned flood-damaged homes and p2 denote the proportion of…

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