MeanΒΆ
Global Algorithm - One-Dimensional Algorithm
Mean algorithm takes the average of the available values. The basic formula is stated as follows:
\[\mu = \frac{\sum_{i=1}^{N} Y_i}{N}\]
where \(Y_i\) denotes the \(i\)th value in the data set, \(N\) is the length of the data vector and \(\mu\) is the computed mean value.
Input Parameters
| Parameter | Type | Constraint | Description | Remarks |
|---|---|---|---|---|
| \(Y\) | \(Y \in \mathbb R^N\) | \(N \in \mathbb{N}\) | Input data vector of length \(N\) |
Output Parameters
| Parameter | Type | Constraint | Description | Remarks |
|---|---|---|---|---|
| \(\mu\) | \(\mu \in \mathbb R\) | Mean value of data values available in \(Y\) | The result is sensitive to improper values such as ‘nan’, ‘inf’, ‘null, ‘etc. |
Tool Support
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For details refer to the online documentation of the function ‘AVERAGE’.
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For details refer to the online documentation of the function ‘MEAN’.
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For details refer to the online documentation of the function ‘mean’.
Single Steps using the Algorithm