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.
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Utilize a structured prompt to perform time series forecasting using ARIMA models, including data preparation and interpretation steps.
Outline a comprehensive design for a multivariate statistical experiment, specifying variables, controls, and appropriate analytical methods.
Generate a structured approach to apply Bayesian inference for A/B testing, interpreting results with probabilistic statements rather than p-values.
Provide a framework for interpreting the output from common statistical software (e.g., R, Python, SPSS), focusing on key metrics and conclusions.
Guide through an advanced process to select the most appropriate regression model, considering various statistical criteria and potential pitfalls.
A foundational pack for understanding and performing basic statistical analysis tasks, including descriptive statistics and p-value interpretation.
A comprehensive toolkit for advanced statistical analysis, covering hypothesis testing, regression, time series forecasting, and dimensionality reduction for data-driven insights.
A comprehensive toolkit for leveraging AI in advanced statistical analysis, covering hypothesis testing, regression, time series forecasting, and experimental design.
