To get a sample of a certain size, scores are taken one-by-one from the observed data and each time replaced. The parameter of interest (e.g., the mean or b in regression) is computed within the sample. This process is repeated numerous times. The resulting parameter estimates are used to compute a confidence interval. The process I am describing is:
A)Significance testing
B)Bootstrapping
C)Sampling
D)The standard error

Question

Quizplus · Accepted Answer

This process is called bootstrapping, which involves repeatedly resampling from the observed data to estimate the sampling distribution of a statistic and compute a confidence interval. It is a non-parametric method that does not require assumptions about the underlying distribution of the data.

To Get a Sample of a Certain Size, Scores Are