Attribute p-chart limits calculator

Calculate p-chart center and period limits JSON [lower fraction,upper fraction] with your own figures.

Your numbers

Use the units shown. Results update as you change valid inputs.

Use p-chart center and period limits JSON [lower fraction,upper fraction] to compare changes to your inputs. The method and limits below explain the scope.

Examples

Examples

Try the starting example

Periods JSON [defective units,inspected units]
[[2,100],[4,200],[1,100]]
P-chart center (fraction)
0.0175
Period limits JSON [lower fraction,upper fraction]
[[0,0.0568374821258],[0,0.045315800366],[0,0.0568374821258]]
Period observed defective fractions
[0.02,0.02,0.01]

Try another scenario

Periods JSON [defective units,inspected units]
[[8,100],[10,200],[4,100]]
P-chart center (fraction)
0.055
Period limits JSON [lower fraction,upper fraction]
[[0,0.123394078691],[0.00663808316454,0.103361916835],[0,0.123394078691]]
Period observed defective fractions
[0.08,0.05,0.04]
Calculation method

Calculation method

P-chart center (fraction)

sum(defectives)/sum(inspected).

Period limits JSON [lower fraction,upper fraction]

For each n: pbar ±3*sqrt(pbar*(1-pbar)/n), clamped to [0,1].

Period observed defective fractions

defective/n.

Symbols and units
a
Periods JSON [defective units,inspected units]

Use the units shown. A list keeps the order in which you enter its values. The symbol ^ means “raised to the power of”.

Calculation steps and notation

sum(list) adds all entries in the list.

Assumptions & limits

Assumptions & limits

  • Binomial three-sigma approximation for defective units; samples independent, common baseline defect probability. Weak approximations near zero; no defect-count chart or inferred acceptance threshold. Supported limits: 1..1000 periods; integer 0<=d<=n; n>0.
Are these inputs private?

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Further reading

Method reference ↗

Background reading; this does not imply endorsement or independent review of SumFizz.

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