Standard Error of Mean of Weighted Observations Solution

STEP 0: Pre-Calculation Summary
Formula Used
Standard Error of Mean = Weighted Standard Deviation/sqrt(Sum of Weightage)
σnw = σw/sqrt(ƩW)
This formula uses 1 Functions, 3 Variables
Functions Used
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., sqrt(Number)
Variables Used
Standard Error of Mean - Standard error of mean limits the error bound within which the true value of the mean lies.
Weighted Standard Deviation - Weighted standard deviation is the standard deviation found when the observations taken are having different weightages.
Sum of Weightage - Sum of weightage is the addition of weightage of each observed value if the weight is different for each values.
STEP 1: Convert Input(s) to Base Unit
Weighted Standard Deviation: 950 --> No Conversion Required
Sum of Weightage: 90 --> No Conversion Required
STEP 2: Evaluate Formula
Substituting Input Values in Formula
σnw = σw/sqrt(ƩW) --> 950/sqrt(90)
Evaluating ... ...
σnw = 100.138792571999
STEP 3: Convert Result to Output's Unit
100.138792571999 --> No Conversion Required
FINAL ANSWER
100.138792571999 100.1388 <-- Standard Error of Mean
(Calculation completed in 00.004 seconds)

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Created by Chandana P Dev
NSS College of Engineering (NSSCE), Palakkad
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Meerut Institute of Engineering and Technology (MIET), Meerut
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Theory of Errors Calculators

Mean Error given Specified Error of Single Measurement
​ LaTeX ​ Go Error of Mean = Specified Error of a Single Measurement/(sqrt(Number of Observations))
Probable Error of Mean
​ LaTeX ​ Go Probable Mean of Error = Probable Error in Single Measurement/(Number of Observations^0.5)
Mean Error given Sum of Errors
​ LaTeX ​ Go Error of Mean = Sum of Errors of Observations/Number of Observations
True Error
​ LaTeX ​ Go True Error = True Value-Observed Value

Standard Error of Mean of Weighted Observations Formula

​LaTeX ​Go
Standard Error of Mean = Weighted Standard Deviation/sqrt(Sum of Weightage)
σnw = σw/sqrt(ƩW)

What is Distribution of Error of the Field Measurement?

Whenever observations are made in the field, it is always necessary to check for the closing error, if any. The closing error should be distributed to the observed quantities. The following rules should be applied for the distribution of errors:
1) The correction to be applied to an observation is inversely proportional to the weight of the observation.
2) The correction to be applied to an observation is directly proportional to the square of the probable error.
3) In case of line of levels, the correction to be applied is proportional to the length.

How to Calculate Standard Error of Mean of Weighted Observations?

Standard Error of Mean of Weighted Observations calculator uses Standard Error of Mean = Weighted Standard Deviation/sqrt(Sum of Weightage) to calculate 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 calculate Standard Error of Mean of Weighted Observations using this online calculator? To use this online calculator for Standard Error of Mean of Weighted Observations, enter Weighted Standard Deviation w) & Sum of Weightage (ƩW) and hit the calculate button. Here is how the Standard Error of Mean of Weighted Observations calculation can be explained with given input values -> 100.1388 = 950/sqrt(90).

FAQ

What is Standard Error of Mean of Weighted Observations?
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 and is represented as σnw = σw/sqrt(ƩW) or Standard Error of Mean = Weighted Standard Deviation/sqrt(Sum of Weightage). Weighted standard deviation is the standard deviation found when the observations taken are having different weightages & Sum of weightage is the addition of weightage of each observed value if the weight is different for each values.
How to calculate Standard Error of Mean of Weighted Observations?
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 is calculated using Standard Error of Mean = Weighted Standard Deviation/sqrt(Sum of Weightage). To calculate Standard Error of Mean of Weighted Observations, you need Weighted Standard Deviation w) & Sum of Weightage (ƩW). With our tool, you need to enter the respective value for Weighted Standard Deviation & Sum of Weightage and hit the calculate button. You can also select the units (if any) for Input(s) and the Output as well.
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