File:Margin of error vs sample size and confidence level.svg
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Summary
| Description |
English: Log-log graphs of maximum margin of error MOEγ(0.5) vs sample size n and confidence level γ by CMG Lee. The arrows show that the maximum margin error for a sample size of 1000 is ±3.1% at 95% confidence level, and ±4.1 at 99%. If the probability p is known, MOEγ(0.5) can be multiplied by correction factor c to get MOEγ(p). For example, MOE95(0.71) ≈ 0.9 × ±3.1% ≈ ±2.8%. In the SVG file, hover over or click a graph to highlight it. |
| Source | Own work |
| Author | Cmglee |
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Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the section entitled GNU Free Documentation License. |
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 19:02, 28 July 2020 | | 512 × 384 (11 KB) | Cmglee | {{Information |description ={{en|1=Log-log graphs of maximum margin of error MOEγ(0.5) vs sample size ''n'' and confidence level ''γ'' by CMG Lee. The arrows show that the maximum margin error for a sample size of 1000 is ±3.1% at 95% confidence level, and ±4.1 at 99%. If the probability ''p'' is known, MOEγ(0.5) can be multiplied by correction factor ''c'' to get MOEγ(''p''). For example, MOE95(0.71) ≈ 0.9 × ±3.1% ≈ ±2.8%. In the SVG... |
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