# Overview of Bootstrapping for 1-sample function

Use Bootstrapping for 1-sample function to explore the sampling distribution of a specified statistic of a sample of data and to estimate a confidence interval for the population parameter. You can also use Bootstrapping for 1-sample function to illustrate important statistical concepts. You can choose from the following statistics:
• Mean
• Proportion
• Median
• Sum
• Variance
• Standard deviation
For example, an environmental scientist wants to estimate the median amount of calcium in water from the wells in a geographical region. The scientist uses a bootstrap for the median to examine the sampling distribution of the median and to estimate a confidence interval for the median amount of calcium in the water.
• The confidence interval provides a range of likely values for the population median.
• The histogram shows the variation and shape of the sampling distribution.
• Resampling techniques can show the effect of sample size on the sampling distribution.

For more detail on bootstrapping and resampling techniques, go to What is bootstrapping?

## Where to find this analysis

Calc > Resampling > Bootstrapping for 1-Sample Function

## When to use an alternate analysis

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

To test a hypothesized proportion with a resampling technique, use Randomization test for 1-sample proportion.