a. In general, what does it mean to "resample" the following data set consisting of wait times (minutes) of customers waiting in line for the Space Mountain ride at Walt Disney World: 50, 25, 75, 35, 50? OA. A sample of the same size is random selected from the given sample. OB. A sample of a smaller size is randomly selected as a subset of the given sample. OC. A sample of the same size is randomly selected from the same population as the given sample. OD. A sample's data are modified to conform to some hypothesized or expected property. b. When resampling from the data set given in part (a), is it done with replacement or without replacement? Why? OA. Resampling is done without replacement, since resampling with replacement would always result in the same generated sample, which would not be useful. OB. Resampling is done with replacement, since resampling without replacement would always result in the same generated sample, which would not be useful. OC. Resampling is done without replacement, since resampling with replacement would violate the requirement of independence. OD. Resampling is done with replacement, since resampling without replacement would violate the requirement of independence. c. When testing a claim about a proportion or mean or standard deviation, what is an important advantage of using a resampling method instead of the parametric method? Select all that apply. A. Unlike the parametric method, resampling methods have no requirements about the underlying distribution of data. B. Unlike the parametric method, resampling methods have no requirement of a minimum sample size. OC. Resampling methods result in tests with simultaneously higher power and a lower significance level for the same original data than the parametric method can. D. Resampling methods are easier to perform than the parametric method when technology is unavailable.