Answer the following multiple-choice questions regarding bootstrap confidence intervals:

Which of the following is correct about a bootstrap confidence interval? Select all that apply. Note: 50% points on this question will be deducted for wrong choice. Please choose wisely. A 95% confidence interval obtained using the bootstrap approach can be interpreted as \"we can be 95% sure that the true measure is in the interval provided" A confidence interval provides an estimate of uncertainty in the sample measure A confidence interval provides an estimate of precision of an effect size A bootstrap pivotal confidence interval assumes that the observed sample measure is a pivot such that the variability in sample measures around the true population measure is the same as the variability of measures from the bootstrap resamples around the observed measure Your professor gives you a population of freshmen students at USC, and asks you to compute a 99% pivotal CI for their mean high school GPAs. What would you do? Oa. Ob. 0c. 0d. I would use the bootstrap resampling with replacement of the population 10,000 times and compute a pivotal 99% Cl from the histogram of such mean GPAs I would ask a classmate and do whatever they tell me to I would respectfully do what my professor wants because I want an A in this class Cls make sense when we have samples and not the whole population. This is an absurd task and I would respectfully let my professor know that this is not reasonable 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 5year olds visiting the same office as [105 cm, 115 cm]. Whose Cl reports greater uncertainty? 0 a. Maria's because her CI is wider O b. Tom's because his CI is more precise O c. Both samples have pretty similar uncertainty 0 d. Not enough information is provided to answer this