A comprehensive toolkit of prompts for advanced statistical modeling, covering A/B testing, regression, time series, and experimental design. Leverage these prompts to perform rigorous data analysis, make accurate predictions, and design robust research studies.
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Develop a robust time series forecasting model by outlining data preprocessing, model selection, training, validation, and evaluation strategies.
Calculate statistical significance for A/B tests, interpret p-values and confidence intervals, and provide actionable business recommendations.
Optimize regression model selection by analyzing data, identifying target variables, and choosing the best model based on specific goals and evaluation metrics.
Design complex statistical experiments by outlining research questions, variables, population, and resources, and detailing the experimental setup.
