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.

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