The bootstap method of constructing confidence intervals: Group of answer choices requires fewer assumptions than the traditional CI methods, but it's more computationally intensive. requires fewer assumptions than the traditional CI methods and it's less computationally intensive. is less computationally intensive than traditional CI methods but requires more stringent assumptions is more computationally intensive than traditional CI methods and requires more stringent assumptions.

requires fewer assumptions than the traditional CI methods and it's less computationally intensive.  

Explanation:

The bootstap method refers to a confidence interval simulation technique so that correct and accurate estimates can be made on parameters of interest, related to a resampling of the original data of a system. The advantage of using this method is that it requires fewer assumptions than traditional CI methods and is less computationally intensive, which makes it ideal for use in polynomial regression models, for example.

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