소개
The Hypothesis Testing skill empowers researchers and data scientists using Claude Code to navigate complex statistical landscapes with precision. It provides a structured decision tree for selecting the right test based on variable types, automates assumption checking for normality and homogeneity, and offers standardized templates for reporting results including p-values and effect sizes. By bridging the gap between raw data and scientific insight, it ensures that statistical analyses are rigorous, accurate, and correctly interpreted for academic or industrial research workflows.
