Downloadable cheat sheets, templates, and reference materials to support your statistical analysis work.
Quick reference guide for choosing the right statistical test based on your data type and research question.
Essential R commands for data manipulation, statistical analysis, and visualization in a single-page reference.
Quick reference for common Pandas operations including data cleaning, filtering, and aggregation functions.
Step-by-step guide for conducting hypothesis tests, interpreting p-values, and making statistical decisions.
Quick reference for common probability distributions including formulas, parameters, and use cases.
Comprehensive glossary of statistical symbols, notation, and their meanings for quick reference.
Professional template for writing statistical analysis reports with sections for methods, results, and interpretation.
Ready-to-use R Markdown template for reproducible statistical analysis with code chunks and formatting.
Structured Jupyter notebook template for data analysis projects with sections for EDA, modeling, and visualization.
Worksheet template for planning experiments, including sample size calculation, randomization, and analysis plan.
Comprehensive checklist for data cleaning and preprocessing steps before statistical analysis.
Template for documenting power analysis calculations and sample size justifications for research proposals.