Explanation:
Bootstrapping is a non-parametric method. One of its main advantages is that it does not require assumptions about the underlying distribution or known properties of the variable. It relies on resampling with replacement from the observed data to infer the properties of the population. Therefore, statement D is the least accurate.
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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.
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