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- Due to the alarming cases of Covid-19, a researcher wanted to study the characteristics of the patients in NCR infected by the virus. Lilliefors, a researcher, considered the following variables: M: age bracket (0-19, 20-39, 40-59, 60 and above) N: last country visited in the past 3 months O: number of days quarantined after manifestation of symptoms P: current status of the patient (mild, moderate, severe) 6. To answer the objective of the study, Lilliefors used different data collection methods. First, she gathered information about the variables of interest by letting the patients answer a self-administered questionnaire. Second, to supplement the data she gathered, she collected the sociodemographic profile of the patients using the data from the Department of Health. The methods of data collection used by Lilliefors are ________. A. objective and subjective, respectively B. subjective and objective, respectively C. objective and use of existing records, respectively…4. Due to the alarming cases of Covid-19, a researcher wanted to study the characteristics of the patients in NCR infected by the virus. Lilliefors, a researcher, considered the following variables: M: age bracket (0-19, 20-39, 40-59, 60 and above) N: last country visited in the past 3 months what is variable M and N? M: Qualitative or Quantitative? N: Qualitative or Quantitative?The COVID-19 (coronavirus) mortality rate of a country is defined as the ratio of the number of deaths due to COVID-19 divided by the number of (confirmed) cases of COVID-19 in that country. Suppose we want to investigate if there is any difference between the COVID-19 mortality rate in the US and the UK. On April 18, 2020, out of a sample of 671,493 cases of COVID-19 in the US, there was 33,288 deaths; and out of a sample of 109,754 cases of COVID-19 in the UK, there was 14,606 deaths. What is the 92% confidence interval in the true difference in the mortality rates between the two countries? What can you conclude about the difference in the mortality rates between the US and the UK? Justify your conclusions.
- To determine the average length of hospital stay for patients who were hospitalized with and recovered from Covid-19, a physician randomly surveyed 100 of his patients and determined their average length of hospital stay. Identify the population, parameter, sample, and statistic for the above scenario. Write "NONE" for any information that is missing.According to Johns Hopkins Medicine, the healthcare providers consider a fever to be 100.4◦F. Data was acquired in a health center that observed 24 adults with COVID- 19. We want to find out if the sample mean of 104◦F body temperature of adults with COVID-19 is significantly higher than the body temperature of a person with fever. Consider the sample SD of 10.2◦F.The article “State and Federal Data on COVID-19 Testing Don’t Match Up” by Meyer and Madrigal in May 2020 stated that Florida had reported conducting 700,000 coronavirus tests, yet the Centers for Disease Control and Prevention reported Florida had conducted 919,000. The difference between these reports is 219,000 tests. What is the difference between the number of tests Florida reported administering and the number the CDC reported the state-administered as a percent of the number of tests reported by Florida? Round your answer to the nearest hundredth of a percent.
- Governor Andy Beshear stated that COVID-19 is disproportionately affecting the AfricanAmerican community in Kentucky. As of April 21, there are 144 deaths from COVID-19 where the race of the patient is known, and of those 20 are African-American. AfricanAmericans make up 8% of the population of Kentucky overall. Does this information indicate that African-Americans in Kentucky are dying from COVID-19 at a disproportionate rate? Use an α = 0.05 significance level to test this claim. (d) What is the P-value?(e) Write a brief summary of your conclusion.Smoking History CoVID-19 Severity Low High Current 87 15 Former 43 9 Never 136 64 4.) One research question that could be posed using the available data: “Is there an advantage to being a Never smoker when it comes to CoVID-19 severity?” Essentially, we would like to know if the rate of High CoVID-19 severity is lower for Never smokers than it is for Current/Former smokers. Determine a method that would be appropriate for answering this research question. Using StatCrunch* and the available data, perform the statistical procedure deemed appropriate. Hint: In order to adequately answer this question, you will need to perform an additional statistical procedure a. What method did you use to answer the research question e.g., One-Sample t-Test for Means? b. Why did you select this particular method to answer the research question? c. In one to two complete sentences,…The Virginia Department of Health publishes COVID-19 vaccination data on their website. As of 10/5/2021, 60.6% of the population of Virginia is fully vaccinated. This rate varies drastically from county to county. Specifically, Fairfax County’s full vaccination rate is 74% and Lee County’s full vaccination rate is 40%. A researcher took a random sample of 14 individuals from Fairfax County and another random sample of 14 individuals from Lee County and asked them whether they could verify that they are fully vaccinated. Each sample was selected in a single day. 1. Calculate the mean and standard deviation of the number of individuals from Fairfax County and Lee County in this sample who are fully vaccinated. Show your work using the binomial mean and binomial standard deviation formulas and provide your two means and two standard deviations in your document. Round your answers to two decimal places. (It is not necessary to use StatCrunch for this part.) 2. Calculate the probability…
- 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…On April 30, 2020, in Chicago, 4510 people took Covid-19 test. The following table shows the test results by age group. Using data to determine whether tesgt results (positive or negative) is independent of age. Using .05 level of significance, what is the p-value and what is your conclusion? What conclusion can you draw about the relationship between results and people's age. Age 0-17 Age 18-29 Age 30-30 Age 40-49 Age 50-59 Age 60-69 Age 70-79 Age 80+ Age Unknown Positive 57 225 221 221 184 149 93 101 0 Negative 171 564 551 530 508 433 225 263 14What measures of fit are typically used to assess binary dependent variableregression models?
