- COMPUTE THE NORMAL DISTRIBUTION*
Computes the normal (Gaussian) distribution for a given z-value, returning either the probability density function (PDF) or the cumulative distribution function (CDF). Use this worker when you need to evaluate a standard normal distribution at a specific point within a statistical or signal-processing pipeline.
When to use¶
Classification: process.
Tagged: cdf, gaussian, math, norm_dist, normal_distribution, pdf, statistics.
Inputs¶
| Label | ID | Type | Default | Required | Description |
|---|---|---|---|---|---|
| Dist Value | distvalue | scalar | — | The z-value (standard normal deviate) at which to evaluate the distribution; a dimensionless scalar — leave blank if the value will be wired from an upstream worker. | |
| Dist Type | disttype | string | probability | Selects the distribution form to compute: ‘probability’ returns the PDF value at the given z-score, ‘cumulative’ returns the CDF (area under the curve up to z); defaults to ‘probability’. |
Outputs¶
| Label | ID | Type | Description |
|---|---|---|---|
| math_norm_dist_output_1 | math_norm_dist_output_1 | scalar | Scalar result of the normal distribution evaluation — a probability density value (PDF, unbounded positive) when disttype is ‘probability’, or a cumulative probability in [0, 1] when disttype is ‘cumulative’. |
Disciplines¶
- data.statistics
Runnable example¶
A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: /api/workflow/example?id=math_norm_dist
Auto-generated from transformation schema. Worker id: math_norm_dist. Schema hash: 52cf653af745. Hand-curated docs in workerexamples/ override this page when present.