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Acceptance sampling, Gaussians
Accepts or rejects from Gaussian sample.
2024.Jul.03 13:37:11
File to upload (Optional) Such as sample15.xlsx (sum, aver, s = 375.43 25.03 0.062)
Sample
('csv' Amer. or Euro.)
Specs Lower and upper specification limits.
AQL's  % Lower and upper spec AQL's.
Active specs     Active specs: LSL, both, UCL.
Show values Show graph coordinates.

From a sample from a Gaussian population, decides to accept or reject the source population.

The procedure performs the acceptance sampling routine as established in the Standard Mil-Std-414 or subsequent Standards. It uses "Form 2", which compares the estimated fraction defectives pL and pU (or ϖ* instead of p), and compares them with their maximum values (ML, MU) in the Standard.

Draws a graph of the sample values, together with ±3 s limits. The base problem leads to a decision to reject.

From N to n: Table A-2, then from 'sample letter' to sample size, Table B-1.

The sample sizes used here (from Mil-Std-414) are: 5, 10, 15, 20, 25, 30, 50, and 75.
*This is not an 'ω', but a variant of 'π', for "proportion".


Computation structure — A PHP file (this page: 'P-acceptSampling.php') calls (via 'action=') an intermediate PHP file ('AcceptanceSampling.php'), which (through $_POST) sends the problem data as command line arguments to a Python script. This last does the computing, and makes 'system' call(s) to 'gnuplot', for the final (temporary) webpage. Keywords: PHP, command line arguments, Python script, gnuplot.

References: Plate: AcceptanceSampling

• (Wikipedia) PHP (from Personal Home Page) • Python (programming language). Python as glue. Using Python as glue • 'gnuplot'

• Example B4 (from Mil-Std-414) Sample: 197, 188, 184, 205, 201 with specs (180, 209); AQL_L, AQL_U = 2.5%, 1%.

• CISTI'2023, 18.ª Conferência Ibérica de Sistemas e Tecnologias de Informação (18.th Iberian Conference on Information Systems and Technologies), Aveiro (Portugal), 20–23 June 2023.

• 1804-10-04: Weber, Wilhelm Eduard (†1891-06-23, 86 yrs.).

 
 
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Created: 2022-10-03 — Last modified: 2023-05-11