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Question Completion Status: O No, because they were excluded for a legitimate reason Yes, because excluding data is always unjustified O Yes, because countries that

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Question Completion Status: O No, because they were excluded for a legitimate reason Yes, because excluding data is always unjustified O Yes, because countries that are excluded could have underlying similar characteristics QUESTION 3 In Liang et al, in the Methods section, under Study design and data sources, there is information about the number of infected patients and deaths. Which of the following statements is true? Based on the number of infections and number of deaths, we have no good way to estimate the overall probability of dying from COVID infection to be 0.0554. O The sample size is too small to be meaningful O Based on the number of infections and number of deaths, we can estimate the overall probability of dying from COVID infection to be 0.0554. The mortality rate is a population statistic, not a sample statistic O Based on the number of infections and number of deaths, we can determine the overall probability of dying from COVID infection to be 0.0554. QUESTION 4 Based on Table 1 in Liang et al, what is the standard deviation of the "Test number per 100 people"? Round your answer to one decimal place. Do not enter units. QUESTION 5 Based on Table 1 of Liang et al, the mean and 95% CI for "Bed number per 1000 people" are 3.14 and 2 72 - 3.57 respectively. Based on these values, which of the following statements is most accurate? 95% of the countries in the study have between 2.72 and 3.57 beds per 1000 people There is a 95% chance that the true mean lies in the range 2.72-3.57 O 95% of all the countries in the world are likely to have between 2.72 and 3.57 beds per 1000 people There is a 95% chance that 3.14 is the actual mean Click Save and Submit to save and submit. Click Save All Answers to save all answers. Study Guide Lect..docx Study Guide Lect...docx Study Guide Lect...docx Study Guide Lect...docx why Study Guide Lect..docx Study GL O W! INA

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