Interview Question: When do you perform resampling?

When collecting samples across a population, there are several ways to verify accuracy. One way to verify accuracy is to take additional samples of the population, or resample, to identify any bias or issues.

Resampling is a series of techniques used in statistics to gather more information about a sample. This can include retaking a sample or estimating its accuracy. With these additional techniques, resampling often improves the overall accuracy and estimates any uncertainty within a population.

Sampling is the process of selecting certain groups within a population to gather data. Resampling often involves performing similar testing methods with sample sizes within that group. This can mean testing the same sample, or reselecting samples that can provide more information about a population.

There are four main methods of sampling, to include:-

1. Simple random sampling is when every data piece within a population has an equal chance of selection. You might generate random numbers or have another random selection process.
2. Systematic sampling is often still random, but people might receive numbers or values at the start. The person holding the experiment then might select intervals to divide the group, like every third person.