Math & Numbers
基于原始数据或汇总统计量执行单样本 t 检验，输出 p 值和置信区间
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/one-sample-t-test-calculator' \
-H 'Content-Type: application/json' \
-d '{"dataValues":"48, 52, 47, 50, 53, 49, 51, 54","sampleMean":0,"sampleStandardDeviation":1,"sampleSize":0,"hypothesizedMean":50,"alternative":"two-sided","alpha":0.05,"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/one-sample-t-test-calculator| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| dataValues | textarea | 否 | — |
| sampleMean | number | 否 | — |
| sampleStandardDeviation | number | 否 | — |
| sampleSize | number | 否 | — |
| hypothesizedMean | number | 否 | — |
| alternative | select |
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-one-sample-t-test-calculator": {
"name": "one-sample-t-test-calculator",
"description": "基于原始数据或汇总统计量执行单样本 t 检验，输出 p 值和置信区间",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=one-sample-t-test-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": "one-sample-t-test-calculator",
"arguments": {
"dataValues": "48, 52, 47, 50, 53, 49, 51, 54",
"sampleMean": 0,
"sampleStandardDeviation": 1,
"sampleSize": 0,
"hypothesizedMean": 50,
"alternative": "two-sided",
"alpha": 0.05,
"decimalPlaces": 4
}
}
}有问题或反馈？请联系 [email protected]
| 否 |
| — |
| alpha | number | 否 | — |
| decimalPlaces | number | 否 | — |
JSON 结果
{
"key": {...},
"metadata": {
"key": "value"
},
"error": "Error message (optional)",
"message": "Notification message (optional)"
}