• STATISTICS
  • SIGNIFICANCE
  • DATA
  • HUMAN

How to test categorical variable independence with your AI

Connect the Chi-Square Test Engine to your AI client. Once connected, your agent uses deterministic math to analyze the relationship between your categories.

Ask AI about this page

Short answer

Can my AI check if two categorical variables are independent?

Yes. Your AI uses the calculate_chi_square tool to run a Chi-Square test on your data. This provides a p-value to tell you if the observed relationship is statistically significant. Here is the breakdown of what you get.

The results you get

Statistical outcomes

The AI handles the math and delivers these specific results.

STATISTICS

The Chi-Square statistic

The AI calculates the test statistic based on your contingency table. You get the exact number needed for your report.

SIGNIFICANCE

The p-value result

Your agent determines the p-value. This tells you whether to reject or fail to reject the null hypothesis.

DATA

Contingency table setup

The AI organizes your raw categorical data into a frequency table. This structure is required before the math begins.

HUMAN

Contextual interpretation

The AI provides the numbers, but you decide what the significance means for your specific business or research case.

The workflow

What your AI does when the data arrives.

The AI moves from raw data to a mathematical conclusion using a single specialized tool.

  1. Data structuring

    Your agent reads your provided categories and counts the occurrences of each pair to build a contingency table.

    calculate_chi_square

  2. Mathematical execution

    The AI runs the Chi-Square formula against the frequency counts to find the difference between observed and expected values.

    calculate_chi_square

  3. Probability calculation

    The engine calculates the p-value based on the degrees of freedom and the test statistic.

    calculate_chi_square

  4. Result delivery

    Your agent presents the final statistic and the significance level in a clear format.

    calculate_chi_square

Try it

Copy these to start.

Use these prompts to trigger the analysis immediately.

Starting points

Replace the bracketed text with your actual data or file references.

jstat Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_3a81o44g9lK8eLsDLspiymfXnhfQOUzKsOVzwpSJ/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — jstat capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "chi-square-test-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_3a81o44g9lK8eLsDLspiymfXnhfQOUzKsOVzwpSJ/mcp"
    }
  }
}
Copy into chat04

  • Run a Chi-Square test on the data in my 'customer_survey.csv' file to see if gender and product preference are related.

  • Check for independence between 'employment_status' and 'credit_score_tier' using the data from this spreadsheet.

  • Calculate the Chi-Square statistic and p-value for the relationship between 'region' and 'subscription_type' in my current dataset.

  • Using the Chi-Square Test Engine, tell me if there is a significant link between 'device_type' and 'conversion_rate' in this table.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
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Start here

Connect Chi-Square Test Engine once, then ask.

Click the link to connect the MCP to your preferred client. Your credentials stay encrypted, and you can start running tests immediately.

Connect Chi-Square Test Engine to your AI

FAQ

How this task behaves

  • 01

    Can the AI perform a T-test instead?

    No. This specific Connector is built only for Chi-Square tests on categorical variables.

  • 02

    Does the AI change my original data files?

    No. The AI only reads your data to perform calculations. It cannot modify, delete, or overwrite your source files.

  • 03

    Can I use this for continuous numerical data?

    No. Chi-Square tests require categorical data. For continuous data, you would need a different statistical tool.

  • 04

    Will the AI decide if the result is 'important'?

    The AI provides the p-value, but the decision to act on that significance is entirely up to you.

  • 05

    Do I need to format my data in a specific way?

    It helps to provide data in a clear table or CSV format so the agent can accurately build the contingency table.

  • More questions about Chi-Square Test Engine? The Connector page answers them. See everything the Chi-Square Test Engine Connector can do

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