Use Bootstrapping for 1-Sample Mean to explore the sampling distribution of the mean of a sample of data and to estimate a confidence interval for the population mean.

For example, an environmental scientist wants to estimate the mean amount of calcium in water from the wells in a geographical region. The scientist uses a bootstrap for the mean to examine the sampling distribution of the mean and to estimate a confidence interval for the mean amount of calcium in the water.

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To test a hypothesized mean with a resampling technique, use randomization test for 1-sample mean.