Industrial Minerals & Powder Processing worked example
Blend Uniformity (CV%) at 23% sample mean: a worked example
Suppose sample mean falls to 23%. This page works the full calculation at that level so you can see exactly which result moves and by how much. Estimate the coefficient of variation (CV%) for a blended mineral batch using sample mean and standard deviation to assess whether the blend meets uniformity specifications.
The inputs for this scenario
- Sample mean (key component): 23 % (the input this scenario stresses; the baseline uses 32.5)
- Sample standard deviation: 1.8 % (held at the documented default)
- Maximum acceptable CV%: 7 % (held at the documented default)
Working through the calculation
- The calculation starts from the formula this tool documents: Blend CV% = (sample standard deviation / sample mean) x 100.
- Blend CV% works out to 1,278 % at these inputs, and this is the headline figure for the scenario.
- Gap to CV% limit works out to -1,271 pp at these inputs.
- Sample standard deviation works out to 23 % at these inputs.
- Sample mean works out to 1.8 % at these inputs.
How this compares with the baseline
- Against the tool's baseline example, where sample mean sits at 32.5% and the headline result is 1,806 %, this scenario comes in 29.23% below the baseline at 1,278 %.
- It computes CV% as sample standard deviation divided by sample mean times 100, then subtracts your maximum acceptable CV% to show the gap to limit. When the numbers land here, the stressed input is the lever to work; the walkthrough above shows exactly how much each output recovers as it climbs back toward the baseline.
Results at a glance
- Blend CV%: 1,278 % (headline result)
- Gap to CV% limit: -1,271 pp
- Sample standard deviation: 23 %
- Sample mean: 1.8 %
Run it with your numbers
- To rerun this with your own numbers, open the live Blend Uniformity (CV%) calculator, set sample mean to your actual value, and adjust the remaining inputs to match your operation.
Last reviewed 2026-05-12.