Amostras resampling
- Created by
- Renato Passos, Eng. de Software
- Reviewed by
- Renato Passos, Eng. de Software
Last updated: Apr 18, 2026
Formula
n^B combinações
About this calculator
The Resampling Samples calculator is a statistical tool that uses the bootstrap technique to create random samples with replacement from an original sample. This allows estimating the variability of a statistic or population parameter. The resampling technique is particularly useful when the sample size is small or when the population distribution is unknown.
The formula used is based on the concept of combinations with repetition, where the total number of combinations is given by C(n, n_boot), where n is the size of the original sample and n_boot is the number of resampling samples. This results in n^B possible combinations, where B is the number of resampling samples.
Resampling sampling is commonly used in real cases, such as estimating confidence intervals for population parameters, hypothesis testing, and data analysis. However, it is essential to be careful with the choice of resampling sample size and the interpretation of results, as the accuracy of the estimate depends on the number of resampling samples performed.
It is crucial to consider common precautions when using resampling sampling, such as avoiding the use of very small samples, ensuring randomness in sample selection, and interpreting results with caution, considering the variability inherent in the resampling process.
Frequently asked questions
What is resampling sampling?
Resampling sampling is a statistical technique that creates random samples with replacement from an original sample.
What is resampling sampling used for?
It is used to estimate the variability of a statistic or population parameter.
How to choose the resampling sample size?
The resampling sample size should be chosen based on the analysis objective and desired precision.
What are common precautions when using resampling sampling?
It is essential to avoid very small samples, ensure randomness, and interpret results with caution.
Is resampling sampling useful in specific situations?
Yes, it is useful in situations where the sample is small or the population distribution is unknown.