Statistical Analysis

🏢Official
by anthropics · vlatest · Repository

Official anthropics skill for analysis — helps with agent workflows.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add statistical-analysis npx -- -y @trustedskills/statistical-analysis
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "statistical-analysis": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/statistical-analysis"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

The statistical-analysis skill enables AI agents to perform data analysis tasks such as calculating descriptive statistics, conducting hypothesis tests, and generating visualizations. It supports working with structured datasets and provides insights through summary metrics like mean, median, standard deviation, and correlation coefficients.

When to use it

  • To analyze survey results and identify trends or patterns in responses
  • For quality control processes where data needs to be validated statistically
  • When preparing reports that require visual summaries of numerical data

Key capabilities

  • Descriptive statistics calculation (mean, median, mode)
  • Hypothesis testing (t-tests, chi-square tests)
  • Data visualization (histograms, scatter plots, box plots)
  • Correlation and regression analysis

Example prompts

  • "Calculate the mean and standard deviation of this dataset."
  • "Generate a histogram for the 'age' column in the provided CSV file."
  • "Perform a t-test to compare the average scores between two groups."

Tips & gotchas

Ensure your data is clean and properly formatted before using this skill. Some advanced statistical methods may require additional libraries or preprocessing steps.

Tags

🛡️

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Details

Version
vlatest
License
Author
anthropics
Installs
244

🏢 Official

Published by the company or team that built the technology.