Math & Numbers
基于原始数据执行单样本或双样本 t 检验，并查看 t 统计量、自由度和 p 值
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/t-test-calculator' \
-H 'Content-Type: application/json' \
-d '{"testType":"one-sample","sampleA":"12, 15, 14, 16, 13, 15","sampleB":"","hypothesizedMean":"13","alternativeHypothesis":"two-sided","precision":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/t-test-calculator| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| testType | select | 否 | — |
| sampleA | textarea | 否 | — |
| sampleB | textarea | 否 | — |
| hypothesizedMean | text | 否 | — |
| alternativeHypothesis | select | 否 | — |
| precision | 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-t-test-calculator": {
"name": "t-test-calculator",
"description": "基于原始数据执行单样本或双样本 t 检验，并查看 t 统计量、自由度和 p 值",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=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": "t-test-calculator",
"arguments": {
"testType": "one-sample",
"sampleA": "12, 15, 14, 16, 13, 15",
"sampleB": "",
"hypothesizedMean": "13",
"alternativeHypothesis": "two-sided",
"precision": 4
}
}
}有问题或反馈？请联系 [email protected]
| 否 |
| — |
JSON 结果
{
"key": {...},
"metadata": {
"key": "value"
},
"error": "Error message (optional)",
"message": "Notification message (optional)"
}