interpret_test
Interpret statistical test results by analyzing p-values, test statistics, degrees of freedom, and context to determine significance and practical implications for research.
Instructions
통계 검정 결과 해석
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| test_name | Yes | 검정명 | |
| statistic | No | 검정통계량 | |
| p_value | Yes | p-value | |
| df | No | 자유도 | |
| context | No | 맥락 |
Implementation Reference
- src/tools/index.ts:1760-1769 (handler)The handler function for 'interpret_test' tool. It takes input arguments like test_name, p_value, statistic, and returns a structured interpretation, primarily based on whether p-value < 0.05, advising to report effect sizes beyond p-values.
function handleInterpretTest(args: Record<string, unknown>) { const pValue = args.p_value as number; return { test_name: args.test_name, p_value: pValue, statistic: args.statistic, conclusion: pValue < 0.05 ? "통계적으로 유의함 (p < .05)" : "통계적으로 유의하지 않음 (p ≥ .05)", effect_size_note: "p-value 외에 효과크기도 보고 필요" }; } - src/tools/index.ts:508-520 (schema)The input schema definition for the 'interpret_test' tool within the exported tools array, specifying properties like test_name, statistic, p_value (required), df, context.
name: "interpret_test", description: "통계 검정 결과 해석", inputSchema: { type: "object", properties: { test_name: { type: "string", description: "검정명" }, statistic: { type: "number", description: "검정통계량" }, p_value: { type: "number", description: "p-value" }, df: { type: "number", description: "자유도" }, context: { type: "string", description: "맥락" }, }, required: ["test_name", "p_value"], }, - src/tools/index.ts:856-857 (registration)Registration of the 'interpret_test' tool in the handleToolCall switch statement, mapping the tool name to its handler function handleInterpretTest.
case "interpret_test": return handleInterpretTest(args); - src/tools/index.ts:508-520 (registration)The tool object in the exported 'tools' array, registering the name, description, and schema for the MCP tool system.
name: "interpret_test", description: "통계 검정 결과 해석", inputSchema: { type: "object", properties: { test_name: { type: "string", description: "검정명" }, statistic: { type: "number", description: "검정통계량" }, p_value: { type: "number", description: "p-value" }, df: { type: "number", description: "자유도" }, context: { type: "string", description: "맥락" }, }, required: ["test_name", "p_value"], },