Publication date: 08/13/2020

Bootstrapping is available only in JMP Pro.

Bootstrapping is a resampling method for approximating the sampling distribution of a statistic. You can use bootstrapping to estimate the distribution of a statistic and its properties, such as its mean, bias, standard error, and confidence intervals. Bootstrapping is especially useful in the following situations:

• The theoretical distribution of the statistic is complicated or unknown.

• Inference using parametric methods is not possible because of violations of assumptions.

Note: Bootstrap is available only from a right-click in a report. It is not a platform command.

Figure 11.1 Bootstrapping Results for a Slope Parameter

Want more information? Have questions? Get answers in the JMP User Community (community.jmp.com).

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