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ganlin770

academic-stats-advisor

by ganlin770
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Python
Hybrid

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    Deploy Server
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    TDQS

    A3.8/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: recommending tests, checking assumptions, interpreting results, planning sample size, listing supported tests, and normality guidance. No two tools overlap significantly; even assumptions and normality are separated clearly.

    Naming Consistency5/5

    All tool names use lowercase snake_case and follow a verb_noun pattern (e.g., check_assumptions, interpret_result). The only slight outlier is 'normality_guide', but it still fits the pattern and is consistently readable.

    Tool Count5/5

    With 6 tools, the set is well-scoped for a statistical advisor. Each tool covers a core aspect of statistical analysis workflow without redundancy or excessive granularity.

    Completeness4/5

    The toolset covers the essential workflow: test recommendation, assumptions, normality, sample size, interpretation, and listing tests. Minor gaps exist, such as non-parametric alternatives or post-hoc tests, but the core is solid.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources