SDI Formula:
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The Standard Deviation Index (SDI) is a statistical measure that quantifies how far a value deviates from the mean in terms of standard deviations, expressed as a percentage. It's commonly used in quality control and laboratory medicine.
The calculator uses the SDI formula:
Where:
Explanation: The SDI shows the standard deviation as a percentage of the mean, providing a relative measure of variability.
Details: SDI is crucial for assessing process variability, quality control in laboratories, and comparing measurement precision across different scales or units.
Tips: Enter the standard deviation and mean values in the same units. Both values must be positive, and the mean cannot be zero.
Q1: What does a high SDI indicate?
A: A high SDI indicates greater variability relative to the mean, suggesting less consistency in measurements or processes.
Q2: What are typical SDI values?
A: In quality control, SDI values below 5% are generally considered excellent, while values above 15% may indicate problematic variability.
Q3: How is SDI different from CV (Coefficient of Variation)?
A: SDI and CV are essentially the same measure - both express standard deviation as a percentage of the mean.
Q4: When should SDI be used?
A: SDI is particularly useful when comparing variability across different measurement scales or when the mean values differ significantly.
Q5: Are there limitations to SDI?
A: SDI can be misleading when the mean is close to zero, as the percentage becomes very large. It's also less meaningful for non-normal distributions.