MeanError function
Prototype: |
function MeanError (const StandardDeviation :extended; const NSample :integer) : extended; |
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Description: |
Calculates maximal accepted error of estimate of variable with specified number of observations and standard deviation |
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Syntax: |
variable := MeanError (StandardDeviation, NSample); |
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Part |
Description |
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variable |
A variable declared as type of extended |
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StandardDeviation |
Sample standard deviation |
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NSample |
Number of observations in sample |
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Return value: |
Mean error |
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Note: |
Calculations are based on the presumption of unknown population standard deviation, i.e. quantiles of Students distribution are used. |
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Definition: |
Quantile of Students distribution (alpha 5 %) * StandardError |
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Example:
Task:
Calculate mean error of DBH.

Data stored in the database.
Script:
var
tab : TTableWrapper;
attributeName: string;
nullAsZero: boolean;
x,e: extended;
begin
tab:= Trees.table;
attributeName:= 'DBH_mm';
nullAsZero:= false; // dont want calculate with a null value
x:= StandardDeviation(tab, attributeName, nullAsZero);
e:= MeanError(x, Trees.RecordCount); // Trees.RecordCount returns number of records
//e:= MeanError(StandardDeviation(tab, attributeName, nullAsZero), Trees.RecordCount); //this is same as previous line
ShowMessage(FloatToStr(e));
end.
Output in Field-Map Data Collector:

mean error of DBH
See also:
Mean; QuadraticMean; WeightedMean; Median; SampleVariance; StandardDeviation; StandardError; MeanError;VarianceOfMean; WeightedSampleVariance; WeightedStandardDeviation; WeightedVarianceOfMean;ConfidenceIntervalOfMean; VarianceOfTotal; ConfidenceIntervalOfTotal; StratifiedConfidenceIntervalOfTotal; SampleSize;ShowDistributionChart; ParameterizeRegressionModel; CalculateModelValue
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