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  1. www.statology.org › standard-error-of-proportionStandard Error of the Proportion: Formula & Example - ...

    2021年4月14日 · Standard Error of the Proportion Formula: Standard Error = √p̂ (1-p̂) / n. For example, if p̂ = 0.157 and n = 300, then we would calculate the standard error of the proportion as: Standard error of the proportion = √.157 (1-.157) / 300 = 0.021.

  2. statisticalpoint.com › standard-error-of-proportionStandard Error of the Proportion: Formula & Example

    2023年1月17日 · Standard Error of the Proportion Formula: Standard Error = √ p (1-p ) / n For example, if p = 0.157 and n = 300, then we would calculate the standard error of the proportion as: Standard error of the proportion = √.157(1-.157) / 300 = 0.021

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  4. zh.wikipedia.org › zh-tw › 标准误差標準誤差 - 維基百科，自由的百科全書

    標準誤差（英語： standard error ），也稱標準誤，即樣本平均數 抽樣分布 （ 英語 ： Sampling distribution ） 的標準差（ standard deviation ），是描述對應的樣本平均數抽樣分布的離散程度及衡量對應樣本平均數抽樣誤差大小的尺度 [1]。

  5. en.wikipedia.org › wiki › Standard_errorStandard error - Wikipedia

    The standard error (SE) [1] of a statistic (usually an estimate of a parameter) is the standard deviation of its sampling distribution [2] or an estimate of that standard deviation. If the statistic is the sample mean, it is called the standard error of the mean (SEM). [1] .

  6. library.fiveable.me › standard-error-of-the-proportionStandard Error of the Proportion - (AP Statistics) - Fiveable

    The Standard Error of the Proportion is a statistical measure that estimates the variability or dispersion of sample proportions from the true population proportion. It provides insight into how much the sample proportion is likely to fluctuate around the population proportion, which is crucial when estimating confidence intervals for that ...

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    • Standard Error
    • What is the Standard Error of a Sample ? - Statistics How To

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  8. stats.libretexts.org › Courses › Rio_Hondo_College6.2: The Sampling Distribution for Proportions

    2021年9月12日 · The Sampling Distribution of the Sample Proportion. For large samples, the sample proportion is approximately normally distributed, with mean μˆP = p and standard deviation σˆP = √pq n. A sample is large if the interval [p − 3σˆp, p + 3σˆp] lies wholly within the interval [0, 1].

  9. www.scribbr.com › statistics › standard-errorWhat Is Standard Error? | How to Calculate (Guide with ...

    2020年12月11日 · The standard error of the mean, or simply standard error, indicates how different the population mean is likely to be from a sample mean. It tells you how much the sample mean would vary if you were to repeat a study using new samples from within a single population .

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