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Standard Error (Pooled) Formula

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Standard Error is a statistical term that measures the accuracy with which a sample distribution represents a population by using standard deviation. Check FAQs

E std = \frac{{MSE}^{0.5}}{n t}

E_std - Standard Error?MSE - Mean Square Error?n_t - Observations?

Standard Error (Pooled) Example

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Here is how the Standard Error (Pooled) equation looks like with Values.

Here is how the Standard Error (Pooled) equation looks like with Units.

Here is how the Standard Error (Pooled) equation looks like.

0.0418 = \frac{{0.7}^{0.5}}{20}

0.0418 = \frac{{0.7}^{0.5}}{20}

0.0418 = \frac{{0.7}^{0.5}}{20}

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Standard Error (Pooled) Solution

Follow our step by step solution on how to calculate Standard Error (Pooled)?

FIRST Step Consider the formula

E std = \frac{{MSE}^{0.5}}{n t}

Next Step Substitute values of Variables

∴

E std = \frac{{0.7}^{0.5}}{20}

Next Step Prepare to Evaluate

∴

E std = \frac{{0.7}^{0.5}}{20}

Next Step Evaluate

∴

E std = 0.0418330013267038

LAST Step Rounding Answer

∴

E std = 0.0418

Standard Error (Pooled) Formula Elements

Variables

Standard Error

Standard Error is a statistical term that measures the accuracy with which a sample distribution represents a population by using standard deviation.

Symbol: E_std

Measurement: NAUnit: Unitless

Note: Value can be positive or negative.

Formulas to find Standard Error

Mean Square Error

Mean Square Error of an estimator measures the average of the squares of the errors—that is, the average squared difference between the estimated values and the actual value.

Symbol: MSE

Measurement: NAUnit: Unitless

Note: Value should be greater than 0.

Formulas to find Mean Square Error

Observations

Observations is the number of observations for any particular treatment.

Symbol: n_t

Measurement: NAUnit: Unitless

Note: Value can be positive or negative.

Formulas to find Observations

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How to Evaluate Standard Error (Pooled)?

Standard Error (Pooled) evaluator uses Standard Error = (Mean Square Error^0.5)/Observations to evaluate the Standard Error, Standard Error (Pooled) of a statistic is the approximate standard deviation of a statistical sample population. Standard Error is denoted by E_std symbol.

How to evaluate Standard Error (Pooled) using this online evaluator? To use this online evaluator for Standard Error (Pooled), enter Mean Square Error (MSE) & Observations (n_t) and hit the calculate button.

FAQs on Standard Error (Pooled)

What is the formula to find Standard Error (Pooled)?

The formula of Standard Error (Pooled) is expressed as Standard Error = (Mean Square Error^0.5)/Observations. Here is an example- 0.041833 = (0.7^0.5)/20.

How to calculate Standard Error (Pooled)?

With Mean Square Error (MSE) & Observations (n_t) we can find Standard Error (Pooled) using the formula - Standard Error = (Mean Square Error^0.5)/Observations.

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Standard Error (Pooled) Formula

Standard Error (Pooled) Example

Standard Error (Pooled) Solution

Standard Error (Pooled) Formula Elements

Other formulas in Operational and Financial Factors category

How to Evaluate Standard Error (Pooled)?

FAQs on Standard Error (Pooled)

Variable Name