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RDMAICS • FREE PROCESS IMPROVEMENT TOOLS

p Chart Limits

Calculate varying-sample-size limits for the proportion of defective units.

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p Chart Limits

Browser-only calculations · No input data saved

For tables: one row per line, comma-separated columns, no header row. Avoid commas inside labels. Changing an input clears previous results.

Worked example results

Weighted p-bar
0.06
p Chart Limits analysis
SampleDefectivesInspectedpLCLUCLSignal
151000.0500.131246Within limits
281000.0800.131246Within limits
34800.0500.139656Within limits
471200.05833300.125038Within limits

Rounded for display only. Export includes the inputs, results, method and assumptions. Refreshing or leaving the tool clears entered data.

How to use p Chart Limits

  1. Load the worked example to see the required input format.
  2. Calculate varying-sample-size limits for the proportion of defective units. Use consistent units, periods and definitions.
  3. Select Calculate, review the assumptions and export the result for your project evidence.

Formula and method

p-bar = total defective units / total inspected; limits for sample n are p-bar ± 3√(p-bar(1−p-bar)/n), clipped to [0,1].

Interpretation and assumptions

Count defective units, not total defects. Assumes independent binomial outcomes with a stable underlying probability. Small expected counts need exact binomial limits. Overdispersion may require a different chart.

Results support professional judgement. They are not a certification of process stability, a financial commitment or a substitute for study design.

Frequently asked questions

How do I use the p chart limits?

Calculate varying-sample-size limits for the proportion of defective units. Load the example first, then replace all inputs with consistent process data and select Calculate. p-bar = total defective units / total inspected; limits for sample n are p-bar ± 3√(p-bar(1−p-bar)/n), clipped to [0,1].

What assumptions matter for p chart limits?

Count defective units, not total defects. Assumes independent binomial outcomes with a stable underlying probability. Small expected counts need exact binomial limits. Overdispersion may require a different chart.

Are my calculator inputs saved or sent to a server?

These native calculations run in this browser tab. Inputs are not sent to a server or saved by this calculator. Download the result if you need a record; leaving or refreshing clears the form.