Two similar clinical trials were conducted independent of each other to test the effectiveness of a vaccine for malaria (an infectious disease). One of them reported a p-value which was statistically significant, while the other reported a p-value which was not statistically significant. What would you do? Select all that apply. Ask for the power of these studies O b. Ask for uncertainty measures such as confidence intervals O c.Believe the study which reported statistical significance O d. Believe the study which reported no statistical significance

Suppose Maria, an intern, computed a 99% bootstrap confidence interval for the mean heights of 5-year olds as [100 cm, 120 cm] at a pediatrician's office and her colleague, Tom,computed a 95% confidence interval for the heights of a different set of 5-year olds visiting the same office as [105 cm, 115 cm]. Whose Cl reports greater uncertainty? a.Maria's because her CI is wider O b. Tom's because his Cl is more precise с.Both samples have pretty similar uncertainty O d. Not enough information is provided to answer this question

Suppose a posterior probability was 0.05 for a COVID test. What would be your conclusion? O a. If you had a 5% chance of testing positive, you will have COVID O b. Every 5th person has COVID and you are one of them O c. If you had a positive antibody test for COVID, there is a 5% chance that you actually had COVID

Suppose you simulated your null hypothesis 200 times using the bootstrap approach and computed a two-tailed P-value of zero. Based on such a P-value,what could you conclude? a. None of the above O b. The true probability of observing results as or more extreme than the observed result is zero O c. The true probability of observing results less extreme than the observed result is 1 O d. The true probability of observing results as or more extreme than the observed result is less than 0.005

Select an appropriate way to display raw data values in each of the following scenarios

Which of the following is/are synonymous with P(COVID-19)? O a. PrevalenceO b. Specificityc. 1- SpecificityO d. Sensitivity

Suppose the social cost of a false negative was very high in this case. Carlos, as an ethical and moral pre-med, is worried that his test could have missed detecting a true effect. What are some of the things he could do? a. He could compute the power estimates to support the idea that his result could be a false negative b. He could ask Theresa to conduct the statistical analysis O c. He could increase the alpha cutoff for statistical significance O d. He could reduce the alpha cutoff for statistical significance

UCLA is interested in the effects of living at home on student performance. After collecting data, researchers tested whether having a pet (yes or no) and having siblings at home (none,1, or >1) affected time spent on completing an assignment. Which of the following NHSTS would be most appropriate? a. One-way ANOVA O bComparing two groups (independent samples) O c. Two-way ANOVA O d. Repeated measures ANOVA Comparing two groups (paired samples) O f. Correlation and regression An ornithologist measures the number of eggs laid per year by two species of thrush in two different habitats. Plotting the data, they create one of the four plots below, where the habitat is on the x-axis (habitat 1 vs habitat 2) and the colors (red vs blue) represent the two species.