The correct answer is B. Bootstrap resampling.
Bootstrap resampling is a statistical technique that is used to estimate a population parameter by repeatedly sampling from the population. It is a non-parametric technique, which means that it does not make any assumptions about the distribution of the data.
Bootstrap resampling works by creating a number of bootstrap samples, which are samples of the same size as the original sample. The population parameter is then estimated from each bootstrap sample. The average of the estimates from the bootstrap samples is used as the final estimate of the population parameter.
Bootstrap resampling is a powerful technique that can be used to estimate a wide range of population parameters. It is particularly useful for estimating parameters for which there is no closed-form solution.
Exploratory data analysis (EDA) is a set of techniques that are used to explore and understand data. EDA is not used to estimate population parameters.
Data preprocessing is the process of cleaning and transforming data so that it can be used for analysis. Data preprocessing is not used to estimate population parameters.