A comprehensive toolkit for advanced statistical analysis, covering hypothesis testing, regression, time series forecasting, and dimensionality reduction for data-driven insights.
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Generate an ARIMA model for time series forecasting, including model selection, fitting, and prediction.
Conduct exploratory factor analysis on survey responses to identify underlying latent constructs and reduce dimensionality.
Interpret the coefficients, R-squared, and p-values of a regression model, providing actionable insights.
Validate A/B test results with rigorous statistical hypothesis testing, ensuring reliable conclusions.
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 leveraging AI in advanced statistical analysis, covering hypothesis testing, regression, time series forecasting, and experimental design.
