Lab 11.6 - Measurement uncertainty budget

Lab 11.6 - Measurement uncertainty budget and reporting

Goal

Standardize engineering reporting for measured metrics using:

• Type A and Type B uncertainty contributions;
• root-sum-square combined standard uncertainty;
• expanded uncertainty with coverage factor k=2.

Engineering question

How do we report a metric (for example EVM) with a defensible uncertainty interval instead of a single raw number?

Executable file

File	Purpose
blocks/block_11_integrated_sdr_project/python/lab_11_6_measurement_uncertainty_budget.py	uncertainty contribution example and report artifacts

Run from the repository root:

python blocks/block_11_integrated_sdr_project/python/lab_11_6_measurement_uncertainty_budget.py

Generated artifacts

docs/assets/lab116_uncertainty_budget_contributions.png
docs/assets/lab116_uncertainty_budget_table.md
docs/assets/lab116_uncertainty_budget_metrics.json

Core formulas

u_c = sqrt(sum(u_i^2))
U = k * u_c, with k = 2 for approximately 95% coverage
reported result = nominal +/- U

Report checklist

• [ ] Separate Type A and Type B sources.
• [ ] Show each standard contribution after distribution divisor.
• [ ] Provide u_c, U(k=2), and final interval.
• [ ] State assumptions and limits of the uncertainty model.