1. In which of the following situations is bootstrapping (and other resampling methods) often used?

A. When data have been collected using a probability sampling plan but the data may be strongly skewed.
B. With haphazard sampling schemes when the data don't follow a Normal distribution.
C. When data have been properly collected using a probability sampling plan, but some of the data are missing.
D. With voluntary response surveys where the data don't follow a Normal distribution.

2. Which of the following is a valid description of the bootstrapping method?

A. New bootstrap samples are selected from the original population with replacement. For each bootstrap sample we compute a statistic. We find the distribution of the statistic over many bootstrap samples.
B. New bootstrap samples are selected from the original data with replacement. For each bootstrap sample we compute a statistic. We find the distribution of the statistic over many bootstrap samples.
C. New bootstrap samples are selected from the original data with replacement. For each bootstrap sample we compute the parameter of interest. We find the distribution of the parameter over many bootstrap samples.
D. New bootstrap samples are selected from the original data with replacement. For each bootstrap sample we compute the statistic of interest. We find the distribution of the data over the many bootstrap samples.