Standard Error of Mean of Weighted Observations Formula

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Standard error of mean limits the error bound within which the true value of the mean lies. Check FAQs
σnw=σwƩW
σnw - Standard Error of Mean?σw - Weighted Standard Deviation?ƩW - Sum of Weightage?

Standard Error of Mean of Weighted Observations Example

With values
With units
Only example

Here is how the Standard Error of Mean of Weighted Observations equation looks like with Values.

Here is how the Standard Error of Mean of Weighted Observations equation looks like with Units.

Here is how the Standard Error of Mean of Weighted Observations equation looks like.

100.1388Edit=950Edit90Edit
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Standard Error of Mean of Weighted Observations Solution

Follow our step by step solution on how to calculate Standard Error of Mean of Weighted Observations?

FIRST Step Consider the formula
σnw=σwƩW
Next Step Substitute values of Variables
σnw=95090
Next Step Prepare to Evaluate
σnw=95090
Next Step Evaluate
σnw=100.138792571999
LAST Step Rounding Answer
σnw=100.1388

Standard Error of Mean of Weighted Observations Formula Elements

Variables
Functions
Standard Error of Mean
Standard error of mean limits the error bound within which the true value of the mean lies.
Symbol: σnw
Measurement: NAUnit: Unitless
Note: Value can be positive or negative.
Weighted Standard Deviation
Weighted standard deviation is the standard deviation found when the observations taken are having different weightages.
Symbol: σw
Measurement: NAUnit: Unitless
Note: Value can be positive or negative.
Sum of Weightage
Sum of weightage is the addition of weightage of each observed value if the weight is different for each values.
Symbol: ƩW
Measurement: NAUnit: Unitless
Note: Value can be positive or negative.
sqrt
A square root function is a function that takes a non-negative number as an input and returns the square root of the given input number.
Syntax: sqrt(Number)

Other formulas in Theory of Errors category

​Go Probable Error of Mean
PEm=PEsnobs0.5
​Go Mean Error given Sum of Errors
Em=ΣEnobs
​Go Mean Error given Specified Error of Single Measurement
Em=Esnobs
​Go True Error
εx=X-x

How to Evaluate Standard Error of Mean of Weighted Observations?

Standard Error of Mean of Weighted Observations evaluator uses Standard Error of Mean = Weighted Standard Deviation/sqrt(Sum of Weightage) to evaluate the Standard Error of Mean, The Standard Error of Mean of Weighted Observations is the standard deviation of the mean values of weighted observed values. It limits the error bound within which the true value of the mean lies. Standard Error of Mean is denoted by σnw symbol.

How to evaluate Standard Error of Mean of Weighted Observations using this online evaluator? To use this online evaluator for Standard Error of Mean of Weighted Observations, enter Weighted Standard Deviation w) & Sum of Weightage (ƩW) and hit the calculate button.

FAQs on Standard Error of Mean of Weighted Observations

What is the formula to find Standard Error of Mean of Weighted Observations?
The formula of Standard Error of Mean of Weighted Observations is expressed as Standard Error of Mean = Weighted Standard Deviation/sqrt(Sum of Weightage). Here is an example- 100.1388 = 950/sqrt(90).
How to calculate Standard Error of Mean of Weighted Observations?
With Weighted Standard Deviation w) & Sum of Weightage (ƩW) we can find Standard Error of Mean of Weighted Observations using the formula - Standard Error of Mean = Weighted Standard Deviation/sqrt(Sum of Weightage). This formula also uses Square Root (sqrt) function(s).
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