Reliability Number Formula:
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The Reliability Number is a measure of the overall consistency of measurement in quality control and sampling processes. It represents the percentage of non-defective units in a tested sample and increases as the sample size grows larger.
The calculator uses the Reliability Number formula:
Where:
Explanation: The formula calculates the percentage of reliable (non-defective) units by subtracting the defect percentage from 100%.
Details: The Reliability Number is crucial for quality control, manufacturing processes, and statistical sampling. It helps determine the consistency and reliability of production batches and measurement systems.
Tips: Enter the number of defective units and total tested units. Both values must be positive integers, and defective units cannot exceed tested units.
Q1: What does a Reliability Number of 100% mean?
A: A Reliability Number of 100% indicates zero defective units in the tested sample, representing perfect reliability.
Q2: How does sample size affect the Reliability Number?
A: Larger sample sizes provide more accurate and reliable measurements of the true reliability of the entire population.
Q3: What is considered a good Reliability Number?
A: This varies by industry and application, but generally, higher numbers indicate better reliability. Many industries aim for 95% or higher.
Q4: Can the Reliability Number be negative?
A: No, the Reliability Number ranges from 0% to 100%. A negative result would indicate an error in input values.
Q5: How is this different from defect percentage?
A: The Reliability Number is the complement of defect percentage. While defect percentage shows the proportion of defective units, Reliability Number shows the proportion of reliable units.