A comprehensive toolkit for leveraging AI in advanced statistical analysis, covering hypothesis testing, regression, time series forecasting, and experimental design.
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Develop a step-by-step plan for conducting a multivariate regression analysis, covering data preparation, model selection, interpretation, and diagnostics.
Create a strategic outline for time series forecasting, including data preprocessing, model selection (ARIMA, Prophet, LSTM), validation, and interpretation.
Generate a detailed framework for designing a rigorous hypothesis test, including null/alternative hypotheses, statistical test selection, and power analysis.
A foundational pack for understanding and performing basic statistical analysis tasks, including descriptive statistics and p-value interpretation.
A collection of premium prompts designed to guide users through complex statistical analysis tasks, from model selection and experimental design to Bayesian inference and time series forecasting.
A comprehensive toolkit for advanced statistical analysis, covering hypothesis testing, regression, time series forecasting, and dimensionality reduction for data-driven insights.
