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Explanation:
Unlike Monte Carlo simulation, bootstrapping does not make assumptions about the distribution of the data, nor does it specify the properties of the underlying variable. Instead, the observed data is sampled directly from the unknown distribution.
A is accurate. Bootstrapping directly uses the observed data to simulate a sample that has similar characteristics.
B is accurate. Bootstrapping resamples the original dataset with replacement many thousands of times to create simulated datasets.
C is also accurate. Same explanation as D.
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Q.80 Which of the following statements regarding bootstrapping is least accurate? When using the bootstrapping method,
A
The observed data are used directly to generate a simulated data set.
B
The data used must be resampled with replacement.
C
The data used doesn't have to follow a standard normal distribution.
D
The data used must come from a variable with known properties.