What is the odds ratio for the association between Adults vs. Children and COVID-19? COVID-19+ COVID-19 -1000700500800AdultsChildrenFor the toolbar, press ALT+F10 (PC) or ALT+FN+F10 (Mac).BIUSParagraphArialvilil-2 X₂V10pt26>¶¶<

An odds ratio evaluates a demographic's connection between one attribute A and another attribute B.…

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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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Give the following information of COVIT-19 cases. Underlying health condition/Risk factor for severe outcomes from respiratory infection (no., % with condition) Total with completed information Diabetes mellitus Chronic lung disease Cardiovascular disease Immunocompromised condition Chronic renal disease Pregnancy Neurologic disorder, neurodevelopmental, intellectual disability Chronic liver disease Other chronic disease Former smoker Current smoker None of the above conditions Select one: O True O False Not hospitalized non-ICU 5,143 331 363 239 141 51 72 17 Hospitalized, ICU 24 583 80 61 3,755 1,037 251 152 242 63 95 31 25 9 359 45 22 305 admission 457 148 94 132 41 56 14 170 33 5 99 Total Known 6,637 730 609 613 245 202 107 49 40 Give the data above. The probability of a random person taken from the sample is a former smoker and also admitted to the ICU is equal to the product of probability of a person being in ICU and the probability of being a former smoker. 1,112 158 88 4,159
What is Ha? (H0 is the mean VIQ scores for the younger, middle-aged, and older subjects are all not different from each other) (Note: 1= 5-25 Years, 2= 26-59 Years, 3= 60-92 Years) Multiple Choices: 1. H0 is not true 2. The mean VIQ scores for the younger, middle-aged, and older subjects 3. are all different 4. The mean VIQ scores for the younger, middle-aged, and older subjects are all different from each other 5. The mean VIQ scores for the younger, middle-aged, and older subjects are not equal to one another 6. The mean VIQ scores for the younger, middle-aged, and older subjects are not the same as each other
If the 2412 leaves are not a random sample, but the researchers treated the 2412 leaves as a random sample, this most likely made the data more: accurate, but not precise precise, but not accurate neither both accurate and precise
In a study of how depression may affect one's ability to survive a heart attack, the researchers reported the ages of the two groups they examined. The mean age of 2397 patients without cardiac disease was 69.8 years, while for the 450 patients with cardiac disease, the mean age was 74.0, respectively. Furthermore, 32% of the diseased group were smokers, compared with only 23.7% of those free of heart disease. (1) Determine a 96% confidence interval for the difference in the proportions of smokers in the two groups. (ii) Indicate whether the two groups in the study were different. State the assumptions in order to proceed with the confident interval construction. (ii)
You conducted a study to assess the effect of smoking on systolic blood pressure. The results showed that there was a significant association between the two variables, with an odds ratio of 1.5. Explain this finding to someone who has no background in epidemiologic research.
please do the full problem as it is part of just one!!! please and thx.
A study shows that 28% of the population has high blood pressure. The study also shows that 86% of those who do not have high blood pressure exercise at least 90 minutes per week, while 32% of those with high blood pressure exercise at least 90 minutes per week. Which of the following relative frequency tables could the study provide? Has high blood pressure Does not have high blood pressure Total Has high blood pressure Does not have high blood pressure Total Exercise > 90 minutes per week 24% 23% 47% Exercise > 90 minutes per week 9% 62% 71% Exercise < 90 minutes Total per week 4% 49% 53% 19% 10% 28% Exercise < 90 minutes Total per week 29% 72% 100% 28% 72% 100%
A Doctor is interested in the proportion of Lyon county residents who were infected with covid-19 virus. There were 425 covid-19 cases reported among 25474 residents in Lyon county a.What is the experimental unit in this experiment? b.What is the population in this experiment? c. What is a parameters considered in this experiment? d. What is a statistics in this experiment? e. What variables should pollster collect in this experiment?
In 2001, the polls found that 81% of American adults believed that there was a conspiracy in the death of President Kennedy. Assume a recent poll asked 1160 American adults if they believe there was a conspiracy in the assassination and it found that 897 believe there was a conspiracy. Does the data show that the proportion of Americans who believe in this conspiracy is now lower? Test at the 9% level. What is the correct parameter symbol for this problem? What is the wording of the parameter in the context of this problem? Fill in the correct null and alternative hypotheses:
When analyzing an association between two variables, the size of the correlation may be deceptive because of a.) a spurious association b.) range restriction c.) conflated data d.) poor statistical validity
If you look at the differences between the means, once with 10 participants and one mean with 20 participants. (same data set) One mean difference is very large, but non-significant and the other is very small, but came out significant. What could be the reason for this outcome? (My difference in means was with 10 participants: -1.1 and with 20 participants: -5.1)
Suppose an investigator has studied the possible association between the use of a weight-loss drug and a rare central nervous system (CNS) disorder. He samples from a group of volunteers with and without the disorder, and records whether they have used the weight-loss drug. The data are summarized in the attached table: What is the estimated the odds ratio for the presence of a CNS disorder, comparing people who have used the weight-loss drug to those who have not? What test would you use to evaluate the null hypothesis of no association between weight-loss drug use and presence of a CNS disorder?

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