{"uid":"cap_YH_Sf8vSxi7GVqL-KqAFy","slug":"kihustle-standard-error-of-the-mean-calculator-63f6041d","name":"KiHustle Standard Error of the Mean Calculator","description":"Kostenlose Guides, Solo-Playbooks und Artikel zu KI, Automation und Side Hustles — für Menschen, die mit echten Systemen online Einkommen aufbauen wollen. Transparent finanziert über faire Affiliate-Links.","url":"https://kihustle.tech/nexus/api/v1/standard-error-mean","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"values":{"type":"array","items":{"type":"number"}}}},"responseSchema":{"type":"json","example":{"result":"processed","status":"success"}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.002","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.002/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.002","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.002","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_ME_c_knP6m_j94d2z56wV","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.002","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Computes the standard error of the mean (SEM) for a given array of numeric values","exampleAgentPrompt":"Can you calculate the standard error of the mean for these values: [12.4, 15.1, 13.8, 14.2, 11.9, 16.0, 13.5]?","exampleUseCases":[{"title":"Research sample variability check","prompt":"I have a set of experimental measurements: [23.1, 22.8, 24.0, 23.5, 22.9] — can you compute the standard error of the mean so I can report the uncertainty around my sample average?"},{"title":"Quality control data spread analysis","prompt":"Here are the weights recorded for a batch of products: [50.1, 49.8, 50.3, 50.0, 49.7, 50.2] — calculate the standard error of the mean for me so I can assess consistency."},{"title":"Survey response score precision","prompt":"I have survey scores from a pilot study: [7, 8, 6, 9, 7, 8, 7, 6] — what's the standard error of the mean for these ratings?"}],"resultDescription":"Returns a JSON object with a 'result' field containing the computed standard error of the mean and a 'status' field confirming success. The result represents how much the sample mean is expected to vary from the true population mean.","failureModes":["Empty array input returns an error or undefined result","Non-numeric values in the array may cause processing failure","Array with a single element produces SEM of zero or an undefined result","Malformed request body causes a 400-level error","Payment failure via x402 protocol blocks the request"],"whenToPreferThis":"Choose this endpoint when you need a quick, pay-per-call statistical computation of the standard error of the mean without setting up a local statistics library. Suitable for lightweight agent workflows needing on-demand SEM calculations at low cost ($0.002 per call). Not ideal for large-batch or high-frequency statistical pipelines where local computation would be more cost-effective.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T00:57:35.762Z","isFirstParty":false}