Science & Education
Shapiro-Wilk, Anderson-Darling and Lilliefors Normality Tutor
Run the three workhorse normality tests (Shapiro-Wilk AS R94, Anderson-Darling, Lilliefors) with a Q-Q plot and a Monte-Carlo power comparison.
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Quick start
Call this tool from your code in three languages.
cURL
curl -X POST 'https://api.elysiatools.com/en/api/tools/shapiro-wilk-anderson-darling-lilliefors-normality-tutor' \
-H 'Content-Type: application/json' \
-d '{"data":"0.0987, 0.0533, 0.0293, 0.0246, 0.0200, 0.0194, 0.0191, 0.0180, 0.0172, 0.0132, 0.0102, 0.0084, 0.0077, 0.0058, 0.0016, 0.0000, -0.0026, -0.0036, -0.0042, -0.0114, -0.0139, -0.0222, -0.0333, -0.0348, -0.0363, -0.0363, -0.0402, -0.0583, -0.1184, -0.1420","alpha":"0.05","showQqPlot":true,"powerAlternative":"exponential","showPowerCurve":true}'API reference
Send a POST request with your inputs as JSON. File parameters require a separate upload first.
Endpoint
HTTP
POST https://api.elysiatools.com/en/api/tools/shapiro-wilk-anderson-darling-lilliefors-normality-tutorParameters
| Name | Type | Required | Description |
|---|---|---|---|
| data | textarea | Yes | — |
| alpha | select | Yes | — |
| showQqPlot | checkbox | No | — |
| powerAlternative | select | No | — |
| showPowerCurve | checkbox | No | — |
Response format
MCP integration
Add this tool to your Model Context Protocol server so AI agents can list and call it.
Server configuration
Add this block to your MCP client configuration:
mcp.json
{
"mcpServers": {
"elysiatools-shapiro-wilk-anderson-darling-lilliefors-normality-tutor": {
"name": "shapiro-wilk-anderson-darling-lilliefors-normality-tutor",
"description": "Run the three workhorse normality tests (Shapiro-Wilk AS R94, Anderson-Darling, Lilliefors) with a Q-Q plot and a Monte-Carlo power comparison.",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=shapiro-wilk-anderson-darling-lilliefors-normality-tutor",
"command": "",
"args": [],
"env": {},
"isActive": true,
"type": "sse"
}
}
}List available tools
After connecting to the SSE endpoint, list the exposed tools:
tools/list
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
}Call this tool
Invoke the tool by its id, passing arguments built from its parameters:
tools/call
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "shapiro-wilk-anderson-darling-lilliefors-normality-tutor",
"arguments": {
"data": "0.0987, 0.0533, 0.0293, 0.0246, 0.0200, 0.0194, 0.0191, 0.0180, 0.0172, 0.0132, 0.0102, 0.0084, 0.0077, 0.0058, 0.0016, 0.0000, -0.0026, -0.0036, -0.0042, -0.0114, -0.0139, -0.0222, -0.0333, -0.0348, -0.0363, -0.0363, -0.0402, -0.0583, -0.1184, -0.1420",
"alpha": "0.05",
"showQqPlot": true,
"powerAlternative": "exponential",
"showPowerCurve": true
}
}
}