Create an experiment. To run this experiment, you'll need to [create an iteration](https://launchdarkly.com/docs/api/experiments/create-iteration) and then [update the experiment](https://launchdarkly.com/docs/api/experiments/patch-experiment) with the `startIteration` instruction. ### Experiment types Use the `type` field to specify the experiment type: `experiment` (default), `mab` (multi-armed bandit), or `holdout`. For multi-armed bandit experiments, set `reallocationFrequencyMillis` on the iteration to control how often traffic is reallocated across variations. ### Results analysis Use the `methodology` field to specify the results analysis approach: `bayesian` (default) or `frequentist`. Use the `dataSource` field to specify the source of metric data: `launchdarkly` (default), `snowflake`, or `databricks`. Use the `analysisConfig` field to customize analysis settings such as the Bayesian threshold, significance threshold, or multiple comparison correction method. To learn more, read [Creating experiments](https://launchdarkly.com/docs/home/experimentation/create).