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The standard error (SE) of a statistic (usually an estimator of a parameter, like the average or mean) is the standard deviation of its sampling distribution. The standard error is often used in calculations of confidence intervals.
Standards, Assumptions and usage & Standard error of the sample mean
Explore the main themes, entities and connections around Standard error. Start with the topic map, then use the sections below for research and deeper semantic analysis.
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standard sample mean error population deviation displaystyle distribution size variance sampling sigma used bar often estimator confidence estimate frac true
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Standard error | is a | standard deviation of the Student t-distribution | 0.90 | text |
| Standard error | related to Assumptions and usage | An | 0.60 | section |
| Standard error | related to Assumptions and usage | SE | 0.60 | section |
| Standard error | related to Assumptions and usage | If | 0.60 | section |
| Standard error | related to Assumptions and usage | The | 0.60 | section |
| Standard error | related to Assumptions and usage | Upper | 0.60 | section |
| Standard error | related to Correction for correlation in the sample | If | 0.60 | section |
| Standard error | related to Correction for correlation in the sample | Prais | 0.60 | section |
| Standard error | related to Correction for correlation in the sample | Winsten | 0.60 | section |
| Standard error | related to Correction for correlation in the sample | This | 0.60 | section |
| Standard error | related to Correction for correlation in the sample | Wall Street | 0.60 | section |
| Standard error | related to Correction for correlation in the sample | Moreover | 0.60 | section |
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