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Sagot :
The Bootstrap Method is straightforward and straightforward to comprehend. First, it chooses randomly from the original sample to produce bootstrap samples from our initial sample.
After that, it uses summary statistics like variation, standard deviation, mean, and so on to get replicates, which is how we can calculate a confidence interval from that sample.
Thus, the answer is "Yes."
The bootstrap method is a resampling method that uses replacement sampling to estimate population statistics. It can be used to estimate standard deviation and mean summaries.
Which scenarios call for the use of bootstrapping?
Remember that bootstrapping isn't only valuable for computing standard blunders, it can likewise be utilized to build certainty spans and perform speculation testing. When working with data that doesn't seem to lend itself to conventional methods, always remember bootstrapping techniques.
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Full Question = We want to find a 95% confidence interval for the standard deviation of a large dataset, given a sample.
Can the bootstrap method be used?
Group of answer choices
yes
no
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