happytails.ai

Confidence interval calculator

Open Confidence interval calculator on Happytails.ai. This view has the same page content and links, with explicit tool capabilities. Read the processing notes before using a tool.

Tool capabilities

{
  "id": "confidence-interval-calculator",
  "category": "calculators",
  "built": true,
  "requirements": "Two-sided intervals, confidence 50–99.99%, up to ten million observations. Student t intervals require at least two observations and sample SD. The z method requires known population SD. Wilson intervals model independent binary outcomes and return proportions from 0 to 1.",
  "implementation": {
    "fields": [
      {
        "key": "method",
        "label": "Interval method",
        "value": "Mean (sample SD)",
        "type": "select",
        "values": [
          "Mean (sample SD)",
          "Mean (known population SD)",
          "Proportion (Wilson)"
        ]
      },
      {
        "key": "confidence",
        "label": "Confidence level (%)",
        "value": 95,
        "type": "number",
        "min": 50,
        "max": 99.99,
        "step": "any"
      },
      {
        "key": "n",
        "label": "Sample size",
        "value": 30,
        "type": "number",
        "min": 1,
        "max": 10000000,
        "step": 1
      },
      {
        "key": "mean",
        "label": "Observed mean",
        "value": 10,
        "type": "number",
        "min": -1000000000000,
        "max": 1000000000000,
        "step": "any",
        "showWhen": {
          "method": [
            "Mean (sample SD)",
            "Mean (known population SD)"
          ]
        }
      },
      {
        "key": "sd",
        "label": "Standard deviation",
        "value": 2,
        "type": "number",
        "min": 0,
        "max": 1000000000000,
        "step": "any",
        "help": "Use sample SD for the t interval, and a genuinely known population SD for the z interval.",
        "showWhen": {
          "method": [
            "Mean (sample SD)",
            "Mean (known population SD)"
          ]
        }
      },
      {
        "key": "successes",
        "label": "Observed successes",
        "value": 15,
        "type": "number",
        "min": 0,
        "max": 10000000,
        "step": 1,
        "showWhen": {
          "method": [
            "Proportion (Wilson)"
          ]
        }
      }
    ],
    "note": "Two-sided t or z intervals for a mean, or a Wilson score interval for a binomial proportion. The t method needs at least two observations. Confidence is long-run method coverage, not a probability assigned to this fixed parameter.",
    "input": false,
    "live": true,
    "presentation": "metrics",
    "background": false,
    "inputMaxLength": 1000000,
    "inputErrorCode": "STAT_SIZE",
    "experience": {
      "automatic": true,
      "single": false,
      "inputMaxLength": 1000000,
      "inputMode": "text",
      "label": "Your text",
      "placeholder": "Type or paste your input…",
      "help": "Change the input or settings to update your result. Results update as you type. Up to 1,000,000 characters.",
      "helpParts": [
        "Change the input or settings to update your result.",
        "Results update as you type.",
        "Up to 1,000,000 characters."
      ],
      "action": null
    },
    "mode": "automatic",
    "interactive": false
  },
  "execution": "Browser interface",
  "api": null,
  "browser_agent": {
    "supported": true,
    "name": "run_current_tool",
    "discovery": "WebMCP on the human page in a supporting browser",
    "verification": "See audit/API-AUDIT.md; availability is not verification"
  }
}

Page guide

Calculate two-sided t, z or Wilson confidence intervals from summary statistics.

How to use Confidence interval calculator
  1. Enter the observations or summary values.
  2. Choose the method and check its assumptions.
  3. Review the result and download the calculation.

Useful next steps

Choose the model before reading the result

Calculate two-sided t, z or Wilson confidence intervals from summary statistics.

Check the assumptions

Two-sided intervals, confidence 50–99.99%, up to ten million observations. Student t intervals require at least two observations and sample SD. The z method requires known population SD. Wilson intervals model independent binary outcomes and return proportions from 0 to 1.

Keep the calculation

Download the JSON for unrounded results and settings, CSV for the table, and the separate assumptions note. The calculation runs in your browser.