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Explore all the solutions you can create with Paperform: surveys, quizzes, tests, payment forms, scheduling forms, and a whole lot more.
See all solutions
Connect with over 2,000 popular apps and software to improve productivity and automate workflows
See all integrations
Quality assurance doesn't mean inspecting every single unit—it means inspecting the right number with statistical confidence. This Quality Assurance Statistical Sampling Plan Calculator helps manufacturing teams, quality control managers, and production supervisors determine optimal sample sizes for batch inspections without oversampling or risking quality issues.
Whether you're running incoming material inspections, in-process quality checks, or final product audits, this calculator gives you a defensible sampling plan based on established statistical principles. Input your batch size, select your desired confidence level (90%, 95%, or 99%), define your acceptable margin of error, and get instant sample size recommendations.
Paperform's calculation engine handles the statistical formulas automatically, so your QA team can focus on the inspection itself rather than spreadsheet work. Use conditional logic to show different inspection protocols based on calculated risk levels, and embed the form directly into your quality management system or intranet.
Once you've determined your sampling plan, use Stepper to automate what happens next—create inspection work orders, assign tasks to QA technicians, update your ERP or quality management software, and trigger non-conformance workflows when defects exceed acceptable levels. Everything stays connected without manual handoffs.
Paperform is SOC 2 Type II certified and trusted by manufacturers worldwide for sensitive production data. Set up role-based access so only authorized quality personnel can generate sampling plans, and keep audit trails of every calculation for compliance and continuous improvement initiatives.
Start calculating smarter sampling plans today—no coding, no complex software, just clear quality decisions.