Monthly QC Interpretation Tool
Lab Test Academy
CV% Calculator
Quantify analytical imprecision from your QC measurements. CV% = (SD ÷ Mean) × 100
💡Enter your QC Mean and SD, or paste raw values. Results feed directly into the Six Sigma and Total Error calculators.
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Input Mode
Choose your data entry method
CV% = (SD ÷ Mean) × 100
CV% = Coefficient of Variation | SD = Standard Deviation | Mean = Average of QC values
Coefficient Of Variation
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Count (n)
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Mean
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SD
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Min
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Max
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Range
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CLIA Acceptable CV% — Common Analytes
| Analyte | Desirable CV% | Minimum CV% |
|---|---|---|
| Glucose | < 2.5% | < 5.0% |
| Sodium | < 0.5% | < 1.0% |
| Potassium | < 2.2% | < 4.4% |
| Creatinine | < 2.2% | < 4.3% |
| Total Protein | < 1.7% | < 3.4% |
| ALT | < 11.5% | < 22.9% |
| TSH | < 12.5% | < 24.9% |
| HbA1c | < 1.7% | < 3.4% |
| Haemoglobin | < 1.6% | < 3.2% |
Standard Deviation Index (SDI)
Compare your lab's performance against the peer group. SDI = (Lab Mean − Peer Mean) ÷ Peer SD
💡SDI values close to 0 indicate excellent agreement with peers. |SDI| > 2 requires investigation.
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Inputs
Enter your lab and peer group data
SDI = (Lab Mean − Peer Mean) ÷ Peer SD
|SDI| ≤ 1.0 = Excellent | |SDI| 1–2 = Monitor | |SDI| > 2 = Investigate
SDI Value
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Recommended Actions
Bias% Calculator
Quantify systematic error vs. reference or EQA assigned value. Bias% = [(Lab − Target) ÷ Target] × 100
💡Bias% measures how far your results are from the true value. Values < ±2% are generally acceptable.
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Mode
Choose your comparison reference
Bias% = [(Lab Mean − Target) ÷ Target] × 100
Positive bias = Lab results higher than target | Negative = lower than target
EQA mode also calculates Z-Score = (Lab − Assigned Value) ÷ EQA SD
Bias%
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Z-Score:
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Six Sigma Calculator
Assess overall analytical method quality and determine optimal QC strategy. σ = (TEa − |Bias%|) ÷ CV%
💡Use the Tab 1 and Tab 3 link buttons to auto-fill CV% and Bias% from previous calculations.
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Inputs
Select analyte or enter values manually
σ = (TEa − |Bias%|) ÷ CV%
TEa = Total Allowable Error | Bias% = systematic error | CV% = imprecision
σ < 3 = Unacceptable | 3–4 = Marginal | 4–6 = Acceptable | ≥6 = World Class
Sigma Score
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QC Strategy Recommendation
Total Error Calculator
Estimate total analytical error combining random and systematic components. TE = |Bias%| + Z × CV%
💡Both Bias% (Tab 3) and CV% (Tab 1) can be linked automatically using the arrow buttons.
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Inputs
Enter error components
TE = |Bias%| + Z × CV%
Simple additive Total Error model (standard method)
TEGUM = √(Bias² + (Z × CV)²) — GUM expanded uncertainty model
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TE Simple
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TE GUM
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vs TEa
Z-Score / EQA Peer Comparison
Evaluate your EQA performance against peers per ISO 13528. Z = (Lab Result − Assigned Value) ÷ EQA SD
💡|Z| ≤ 2.0 = Satisfactory | |Z| 2–3 = Borderline (investigate) | |Z| > 3 = Unsatisfactory (urgent action)
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Inputs
Enter your EQA round data
Z-Score = (Lab Result − Assigned Value) ÷ EQA SD
Bias% = [(Lab − Assigned) ÷ Assigned] × 100
Classification per ISO 13528: |Z| ≤ 2.0 = Satisfactory
Z-Score
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Bias From Assigned:
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Monthly QC Summary Report
Generate a complete monthly QC performance report from all calculations above.
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Laboratory Details
Complete all fields for the report
Laboratory
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Table 1 — Precision Summary (CV%)
| Parameter | Value | Interpretation |
|---|---|---|
| CV% | — | — |
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Table 2 — Accuracy Summary
| Metric | Value | Interpretation |
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| Bias% | — | — |
| SDI | — | — |
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Table 3 — Total Error & Sigma Performance
| Metric | Value | Interpretation |
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| Total Error (Simple) | — | — |
| Sigma Score | — | — |
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Table 4 — EQA / Peer Performance
| Metric | Value | ISO 13528 Classification |
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| Z-Score | — | — |
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QC Actions Taken
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