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AQL sampling plan for lot size 500,001 and over

For a lot of 500,001 units or more at general inspection level II the code letter is Q and the sample size is 1,250. At AQL 2.5 the table arrow changes the sample to 500 units; accept the lot with 21 or fewer nonconforming units, reject it with 22 or more.

Sample size code letters for 500,001 and over

Inspection levelS-1S-2S-3S-4IIIIII
Code letterDEHKNQR
Sample size813501255001,2502,000

Level II is the default. Level I gives smaller samples and less protection, level III larger samples. The special levels S-1 to S-4 are for destructive or expensive tests.

Level II plans and their real risk

AQLn / Ac / ReLot at the AQL is acceptedLQ: still accepted 1 in 10AOQL
0.011,250 / 0 / 188 %0.18 %0.03 %
0.015800 / 0 / 1 (letter P)89 %0.29 %0.05 %
0.0252,000 / 1 / 2 (letter R)91 %0.19 %0.04 %
0.041,250 / 1 / 291 %0.31 %0.07 %
0.0651,250 / 2 / 395 %0.43 %0.11 %
0.11,250 / 3 / 496 %0.53 %0.16 %
0.151,250 / 5 / 699 %0.74 %0.25 %
0.251,250 / 7 / 899 %0.94 %0.36 %
0.41,250 / 10 / 1199 %1.2 %0.52 %
0.651,250 / 14 / 1598 %1.6 %0.75 %
1.01,250 / 21 / 2299 %2.2 %1.2 %
1.5800 / 21 / 22 (letter P)99 %3.5 %1.8 %
2.5500 / 21 / 22 (letter N)99 %5.6 %2.9 %
4.0315 / 21 / 22 (letter M)99 %8.8 %4.7 %
6.5200 / 21 / 22 (letter L)99 %13.8 %7.4 %
10125 / 21 / 22 (letter K)99 %21.9 %11.9 %

n = sample size, Ac = accept with this many or fewer nonconforming units, Re = reject with this many or more. Where the standard table shows an arrow, the plan of the letter in brackets is used, with its sample size. LQ (limiting quality) is the defect level that this plan still accepts in 10 % of lots. AOQL is the worst average outgoing quality when rejected lots are sorted 100 %. Risks use the binomial model.

What this means: with AQL 2.5 a lot that is exactly 2.5 % defective passes 99 % of the time. A lot that is 5.6 % defective still passes one time in ten. The sample is large enough to separate good and bad lots fairly well.

OC curves at level II

0 %25 %50 %75 %100 %0 %2 %4 %6 %8 %10 %Incoming lot quality (% defective)
AQL 1.0: n 1,250, Ac 21AQL 2.5: n 500, Ac 21AQL 4.0: n 315, Ac 21Vertical axis: probability that the lot is accepted.

Each curve shows how likely a lot is to be accepted at a given incoming defect level. The steeper the curve, the better the plan separates good lots from bad ones. Read more in the AQL guide.

Levels I and III for common AQL values

AQLLevel I: n / Ac / ReLevel III: n / Ac / Re
0.65500 / 7 / 82,000 / 21 / 22
1.0500 / 10 / 111,250 / 21 / 22
1.5500 / 14 / 15800 / 21 / 22
2.5500 / 21 / 22500 / 21 / 22
4.0315 / 21 / 22315 / 21 / 22
6.5200 / 21 / 22200 / 21 / 22

Single sampling, normal inspection (ISO 2859-1 Table 2-A, ANSI/ASQ Z1.4). Always check plans for contractual use against the current edition of the standard.

XLSFree AQL Sampling Calculator for ExcelSample size, Ac / Re, accept or reject decision and OC curve. No macros, free download.

Other lot sizes

← Lot size 150,001–500,000

2–89–1516–2526–5051–9091–150151–280281–500501–1,2001,201–3,2003,201–10,00010,001–35,00035,001–150,000150,001–500,000

Frequently asked questions

What sample size do I need for a lot of 500,001 units or more?

With general inspection level II the code letter is Q and the sample size is 1,250 units (level I: N, 500 units; level III: R, 2,000 units). For some AQL values the table arrows move you to a different sample size, so always read n together with Ac and Re in the table for your AQL.

How many defects are allowed in a lot of 500,001 units or more at AQL 1.0, 2.5 and 4.0?

At level II, normal inspection: AQL 1.0: inspect 1,250, accept with 21, reject with 22; AQL 2.5: inspect 500, accept with 21, reject with 22; AQL 4.0: inspect 315, accept with 21, reject with 22.

Does every lot of 500,001 units or more get the same plan?

Yes. ISO 2859-1 and ANSI/ASQ Z1.4 group lot sizes into ranges, and every lot in the range 500,001 and over gets the same code letter. Only where the sample would be larger than the lot do you inspect the whole lot.

Open this lot in the AQL calculator: OC curve and accept / reject decisionFree, runs in your browser, PDF report in one click.