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seanshin0214

Dr. QuantMaster MCP Server

by seanshin0214

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
NameRequiredDescriptionDefault
test_nameYes검정명
statisticNo검정통계량
p_valueYesp-value
dfNo자유도
contextNo맥락

Implementation Reference

  • 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"
      };
    }
  • 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"],
    },
  • 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);
  • 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"],
    },

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