Math & Numbers
根据样本量、显著性水平和预期效应，估算单样本均值或比例检验的统计功效
用三种语言从你的代码中调用此工具。
curl -X POST 'https://api.elysiatools.com/zh/api/tools/statistical-power-calculator' \
-H 'Content-Type: application/json' \
-d '{"testType":"mean","alternative":"two-sided","alpha":0.05,"sampleSize":64,"nullMean":100,"alternativeMean":105,"standardDeviation":15,"nullProportion":0.5,"alternativeProportion":0.6,"decimalPlaces":4}'以 JSON 形式 POST 提交输入参数。文件类型参数需先单独上传。
POST https://api.elysiatools.com/zh/api/tools/statistical-power-calculator| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| testType | select | 否 | — |
| alternative | select | 否 | — |
| alpha | number | 否 | — |
| sampleSize | number | 否 | — |
| nullMean | number | 否 | — |
| alternativeMean | number |
将此工具加入你的 Model Context Protocol 服务，让 AI 智能体可以列出并调用它。
将以下内容加入你的 MCP 客户端配置：
{
"mcpServers": {
"elysiatools-statistical-power-calculator": {
"name": "statistical-power-calculator",
"description": "根据样本量、显著性水平和预期效应，估算单样本均值或比例检验的统计功效",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=statistical-power-calculator",
"command": "",
"args": [],
"env": {},
"isActive": true,
"type": "sse"
}
}
}连接到 SSE 端点后，列出已开放的工具：
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
}通过工具 id 调用，参数由其参数表构建：
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "statistical-power-calculator",
"arguments": {
"testType": "mean",
"alternative": "two-sided",
"alpha": 0.05,
"sampleSize": 64,
"nullMean": 100,
"alternativeMean": 105,
"standardDeviation": 15,
"nullProportion": 0.5,
"alternativeProportion": 0.6,
"decimalPlaces": 4
}
}
}有问题或反馈？请联系 [email protected]
| 否 |
| — |
| standardDeviation | number | 否 | — |
| nullProportion | number | 否 | — |
| alternativeProportion | number | 否 | — |
| decimalPlaces | number | 否 | — |
JSON 结果
{
"key": {...},
"metadata": {
"key": "value"
},
"error": "Error message (optional)",
"message": "Notification message (optional)"
}