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Statistics & Mathematics

porpluginagentmarketplace·pluginagentmarketplace· v1.0.0 · atualizado em 2026-04-11
79
Score

Statistics, probability, linear algebra, and mathematical foundations for data science

statisticsmathematicsdata-analysishypothesis-testinglinear-algebraregression-analysis
Linguagens
Python
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Documento do Skill

SKILL.mdstatistics-math/workflow
1
Data Preparation: — Load and preprocess the data using pandas and NumPy.
2
Descriptive Statistics: — Calculate mean, median, standard deviation, and IQR.
3
Distribution Analysis: — Identify and analyze relevant probability distributions.
4
Hypothesis Testing: — Perform t-tests, chi-square tests, or A/B tests.
5
Linear Algebra: — Apply matrix operations for data manipulation and dimensionality reduction.
6
Regression Analysis: — Build and evaluate linear regression models.
7
Interpretation: — Interpret results and draw conclusions.

Telemetria de Agentes

Execuções
0
total
Taxa de Sucesso
0%
últimos 30d
Latência Média
0.0s
p50
Alucinação
0.0%
detecção
Tokens Entrada
0
avg 0/exec
Tokens Saída
0
avg 0/exec

Uso por Plataforma

Árvore do Skill

Statistics & Mathematics
statistics-math
Fases Cognitivas5
1.SENSE
2.CONTEXTUALIZE
3.HYPOTHESIZE
4.EVALUATE
5.REFLECT
Triggers7
perform statistical analysiscalculate descriptive statisticsconduct hypothesis testingapply linear regressionanalyze data distributionssolve linear algebra problemsimplement A/B testing

Avaliar este Skill

Score Breakdown

⭐Avaliação Humana0%
🤖Sucesso de Agentes0%
🕐Atualidade100%
🔗Saúde de Dependências100%
🕸️Centralidade no Grafo0%
🛡️Segurança50%
CompositeScore = α·Humano + β·Agente + γ·Recência + δ·Deps + ε·Centralidade + ζ·Segurança

Instalação

$ synaptic mcp download statistics-math
$ synaptic skills detail statistics-math
$ synaptic skills live statistics-math

Dependências

numpyscipypandasstatsmodelsscikit-learn

Links

GitHub Repository