statistical tolerance

[/stəˈtɪstɪkəl ˈtɑːlərəns/]
nounpl: statistical tolerances
tolerância estatística
1. A range of acceptable variation in a product's dimensions or characteristics, determined using statistical methods rather than fixed limits, allowing a certain percentage of items to fall outside traditional tolerance specifications while maintaining overall quality standards.
The manufacturer implemented statistical tolerance to reduce production costs while maintaining a 99.7% quality level.
O fabricante implementou tolerância estatística para reduzir custos de produção mantendo um nível de qualidade de 99,7%.
2. In quality control, a statistically determined acceptable limit of variation in measurements that accounts for natural process variation and sampling error.
Statistical tolerance uses the normal distribution to establish acceptable deviation from the nominal value.
A tolerância estatística usa a distribuição normal para estabelecer o desvio aceitável do valor nominal.
This is a technical term primarily used in manufacturing, engineering, and quality assurance industries in both Brazil and the USA. It reflects modern manufacturing philosophy that accepts controlled variation rather than absolute precision, balancing cost efficiency with quality standards. The concept is particularly important in automotive, aerospace, and electronics industries.
Synonyms / Sinônimos
statistical limitstatistical acceptance limitprocess tolerance
Antonyms / Antônimos
bilateral tolerancefixed tolerancerigid specification

Regional Variations

General Brazilian
tolerância estatística
Standard term used in engineering and quality management contexts
Portugal
tolerância estatística
Identical usage in Portuguese industrial standards
Technical English
statistical tolerance
Specialized terminology in manufacturing and engineering quality assurance

Related Words

tolerance intervalprocess capabilityquality controlstatistical process controlnormal distributionSix Sigma

Related Idioms & Phrases

within statistical tolerance
exceeds statistical tolerance
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