Final answer:
Bootstrapping traditionally requires resamples to be drawn with replacement and to be the same size as the original sample to ensure independence and representativeness.
Step-by-step explanation:
A correct implementation of the bootstrapping procedure will typically include the following conditions:
- Resamples must be drawn with replacement: This means each member of the population can be chosen more than once, making each event independent.
- Resamples must be the same size as the original sample size: This is essential to ensure the resamples are representative of the original dataset.
Resampling without replacement or using different sample sizes than the original would not be considered proper bootstrapping because these methods could lead to biased or unrepresentative resamples.