Generate a Bayesian framework for analyzing A/B test results, providing posterior distributions for conversion rates and direct probabilities of one variant outperforming another.
Task: generate a summary of a video. Input: [video title], [video transcript], [length of summary: e.g., 100 words, 200 words] Instruction: summarize the video transcript, focusing on the main topics and key takeaways. The summary should be concise and informative, providing a clear overview of the video's content. Adhere to the specified length constraint.
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Generate a detailed prompt to design a statistically sound A/B test, including defining hypotheses, calculating sample size with power analysis, and outlining experiment setup and analysis for [your_metric] on [your_platform].
Generate a structured approach to apply Bayesian inference for A/B testing, interpreting results with probabilistic statements rather than p-values.
Generate a detailed framework for designing a rigorous hypothesis test, including null/alternative hypotheses, statistical test selection, and power analysis.
