Do you think the debate about the COVID 19 vaccine will lead to people feeling apprehensive about other vaccines in the future? Do you think more vaccine hesitancy will become the norm? Why or why not?
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A: It is given that x=1417 and n=1846.
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Q: A study published in JAMA in 2004 examined past results of other studies on bariatric surgery.…
A: It is given that x=1417 and n=1846.
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Q: A study published in JAMA in 2004 examined past results of other studies on bariatric surgery.…
A: It is given that x=1417 and n=1846.
Do you think the debate about the COVID 19 vaccine will lead to people feeling apprehensive about other vaccines in the future?
Do you think more vaccine hesitancy will become the norm? Why or why not?
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Solved in 2 steps
- Explain the Stationarity in the AR(1) Model?A pharmaceutical company claims that after the clinical trials, it will release the first-ever cure for COVID-19. If they have committed an error of judgement, which type of error would they rather have, Type I or Type II? Why?Suppose that a COVID-19 vaccine is 100% effective and Ro of COVID-19 is 2.5. What is the percentage of the population that needs to be fully vaccinated to reach herd immunity?
- Explain the role of the first GLS assumption?A study published in JAMA in 2004 examined the past results of other studies on bariatric surgery. Bariatric surgery is done to replace the size of the stomach in various ways. It is typically used on only obese patients, and one the traditional form of the surgery, gastric bypass has a 1% mortality (death) rate caused by the surgery. However, in the studies reporting on the effects of this surgery on Type II diabetes, 1417 of 1846 diabetic patients recovered completely from diabetes after surgery. These patients no longer need medication like insulin (which is injected into the skin) or pills to help manage blood sugar. (a) What is the percentage of patients who recovered from diabetes in 2004?During the Covid-19 pandemic, working from home has become the norm. Because of this, many households face an increasing monthly electricity bill. Mr. Tan is a research student at the Singapore University of Social Sciences, and his research focus is to examine the impact of Covid-19 on household electricity consumption. He hypothesised that the average monthly electricity bill in a household has increased more than $5 during the Covid-19 pandemic. In order to test his hypothesis, he collected the electricity bill data in 50 households in May 2020 when Singapore was during the circuit breaker period. Mr. Tan also found that the mean and standard deviation of electricity bill in a household in May 2019 are $26 and $7, respectively. In order to study the impact of Covid-19 on household electricity consumption, Mr. Tan intends to make a comparison of the average electricity bills in May 2019 and May 2020 in his analysis. Question 1. Apply an appropriate hypothesis test to determine if the…
- During the Covid crisis, there were lockdowns and working-from-home, which made collecting data on unemployment more challenging. Researchers from a US University conducted a survey of 1,000 individuals in the labour force to assess rise in unemployment in September 2020. The object was to find out whether the unemployment rate had risen above a benchmark proportion of 5 per cent of the labour force in Scotland. Of the surveyed persons, 60 reported being unemployed in the week prior to the survey. Conduct a two-tailed test of whether unemployment rate during this period was 5 per cent. Set out your null and alternative hypotheses, significance level, test statistic, assumptions and sampling distribution clearly. Conduct the test and comment on the economic significance of the findings.In the current pandemic, researchers are working on creating antibody tests to determine which individuals have already had an infection caused by the COVID-19 virus. If someone has been infected, then they will have certain antibodies in their system and the hope is that a highly accurate test can be created to detect these antibodies. Assume a researcher creates a new antibody test, which for individuals who are known to have had the infection in the past and thus truly have the COVID-19 antibodies, gives a positive result 95% of the time. This same test gives a negative result 90% of time for people who do not have the antibodies. Assume that COVID-19 has affected 5% of the population in the region of interest. What is the probability someone has NOT been infected previously given that their antibody test result comes back positive? [four decimals]A study published in JAMA in 2004 examined past results of other studies on bariatric surgery. Bariatric surgery is done to replace the size of the stomach in various ways. It is typically used on only obese patients, and one the traditional form of the surgery, gastric bypass has a 1% mortality (death) rate caused by the surgery. However, in the studies reporting on the effects of this surgery on Type II diabetes, 1417 of 1846 diabetic patients recovered completely from diabetes after surgery. These patients no longer need medication like insulin (which is injected into the skin) or pills to help manage blood sugar. (a) What is the percentage of patients who recovered from diabetes in 2004? (b) What is the 90%, 95% and 99% Confidence Interval for the percentage of recovery from diabetes (2004) data? (to four decimal places for the proportion - two decimal places if you give your answer as a percentage).
- A study published in JAMA in 2004 examined past results of other studies on bariatric surgery. Bariatric surgery is done to replace the size of the stomach in various ways. It is typically used on only obese patients, and one the traditional form of the surgery, gastric bypass has a 1% mortality (death) rate caused by the surgery. However, in the studies reporting on the effects of this surgery on Type II diabetes, 1417 of 1846 diabetic patients recovered completely from diabetes after surgery. These patients no longer need medication like insulin (which is injected into the skin) or pills to help manage blood sugar. (a) What is the percentage of patients who recovered from diabetes in 2004? (b) What is the 90%, 95% and 99% Confidence Interval for the percentage of recovery from diabetes (2004) data? (to four decimal places for the proportion - two decimal places if you give your answer as a percentage). In a study released a decade later, the percentage of patients who recover from…A study published in JAMA in 2004 examined past results of other studies on bariatric surgery. Bariatric surgery is done to replace the size of the stomach in various ways. It is typically used on only obese patients, and one the traditional form of the surgery, gastric bypass has a 1% mortality (death) rate caused by the surgery. However, in the studies reporting on the effects of this surgery on Type II diabetes, 1417 of 1846 diabetic patients recovered completely from diabetes after surgery. These patients no longer need medication like insulin (which is injected into the skin) or pills to help manage blood sugar. In a study released a decade later, the percentage of patients who recover from diabetes has increased to 80%. W will determine whether this is a significant change from the 2004 data. The sample size in 2014 was 2000. (a) What is the percentage of patients who recovered from diabetes in 2014? What is the number of patients in the sample that have recovered? (b) What…A study published in JAMA in 2004 examined past results of other studies on bariatric surgery. Bariatric surgery is done to replace the size of the stomach in various ways. It is typically used on only obese patients, and one the traditional form of the surgery, gastric bypass has a 1% mortality (death) rate caused by the surgery. However, in the studies reporting on the effects of this surgery on Type II diabetes, 1417 of 1846 diabetic patients recovered completely from diabetes after surgery. These patients no longer need medication like insulin (which is injected into the skin) or pills to help manage blood sugar. In a study released a decade later, the percentage of patients who recover from diabetes has increased to 80%. Using Confidence Intervals determine whether this is a significant change from the 2004 data. Use n=2000 (c) What is the percentage of patients who recovered from diabetes in 2014? What is the number of patients in the sample that have recovered? (d) What is the…