I need help with 1, 2, and 3.

Suppose you simulated a null hypothesis 200 times using the bootstrap approach and then computed a two-tailed P-value for an observation. If the P-value turned out to be 9.01. what would you conclude? O a. The probability of the observed result is equal to alpha. 0 b. The probability of the observed result is 196. O c. Ifthe null were true, results as extreme as the observation happens less than 1% of the time. D d. There is a 1% chance that the observation is true. Which of the following is correct about a bootstrap condence interval? Select all that apply. Note: There is a 20% penalty for each incorrect choice. CI a. A 95% condence interval obtained using the bootstrap approach can be interpreted as \"we can be 95% sure that the true measure is in the interval provided\" CI in. A. condence interval provides an estimate of uncertainty in the sample measure Cl c. A bootstrap pivotal condence 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. Cl d. A condence interval provides an estimate of the precision of an effect size Your professor gives you the high school GPAs of the entire freshmen population at UCLA, and asks you to compute a 95% pivotal CI for their mean GPAs. What would you do? O a. I would use the bootstrap resampiing with replacement of the population 1D,DDD times and oompute a pivotal 99% Cl from the histogram of such mean GPAs O b. I would respectfully do what my professor wants because 1 want an A in this class D c. 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 CI d. I would do what my study partner would do since we are a team