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Merge pull request #86 from e10v/dev
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e10v authored Aug 10, 2024
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2 changes: 1 addition & 1 deletion docs/power-analysis.md
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In the example above, **tea-tasting** calculates the relative and absolute effect size for all metrics for two possible sample size values, `10_000` and `20_000`.

The `solve_power` methods of a [metric](api/metrics/mean.md#tea_tasting.metrics.mean.Mean.solve_power) and of an [experiment](api/experiment.md#tea_tasting.experiment.Experiment.solve_power) return the instances of [`MeanPowerResult`](api/metrics/mean.md#tea_tasting.metrics.mean.MeanPowerResult) and [`ExperimentPowerResult`](api/experiment.md#tea_tasting.experiment.ExperimentPowerResult) respectively. These result classes provide the serialization methods similar to the experiment result: `to_dicts`, `to_pandas`, `to_pretty`, `to_string`, `to_html`.
The `solve_power` methods of a [metric](api/metrics/mean.md#tea_tasting.metrics.mean.Mean.solve_power) and of an [experiment](api/experiment.md#tea_tasting.experiment.Experiment.solve_power) return the instances of [`MetricPowerResults`](api/metrics/base.md#tea_tasting.metrics.base.MetricPowerResults) and [`ExperimentPowerResult`](api/experiment.md#tea_tasting.experiment.ExperimentPowerResult) respectively. These result classes provide the serialization methods similar to the experiment result: `to_dicts`, `to_pandas`, `to_pretty`, `to_string`, `to_html`.
2 changes: 1 addition & 1 deletion mkdocs.yml
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site_name: "tea-tasting: statistical analysis of A/B tests"
site_url: https://tea-tasting.e10v.me/
site_description: A Python package for statistical analysis of A/B tests
site_description: A Python package for the statistical analysis of A/B tests
site_author: Evgeny Ivanov
copyright: © Evgeny Ivanov
repo_name: e10v/tea-tasting
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