Plan precision using independent units rather than repeated readings
Monitoring design should connect a decision-relevant precision target to independent sampling units. Many readings from one sensor or one site can improve its measurement but do not automatically create new independent sites. Temporal autocorrelation and clustering can make the nominal record count overstate information.
Learning outcome: Compare n 4,8,16 at the same σ, then double σ. State what is held fixed and identify a clustering mechanism that would invalidate the independence assumption.
Starting recap
Preserve packet identity, independent units, analysis recipe, outcome constraints and review authority; distinguish scientific uncertainty from stakeholder value choices.
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Try
At planned n 8 and known σ2 mg/L, standard error 2/√8≈0.7071 and half-width≈1.3859. A1 mg/L target needs ceiling(3.92²)=16 independent units. Eight technical repeats at one site do not meet that design.
Open the experimentPredict
Quadrupling independent n at fixed known σ makes the planned half-width:
Experiment
Compare n 4,8,16 at the same σ, then double σ. State what is held fixed and identify a clustering mechanism that would invalidate the independence assumption.
Plan independent sampling precision rather than counting repeats
Worked teaching model · synthetic values · Planning comparison only: independent normal observations with known standard deviationσ. Mean standard errorσ/√n; nominal 95% normal half-width 1.96σ/√n. Target half-width 1 mg/L requires ceiling[(1.96σ)^2]independent units. These are prospective assumptions, not confidence intervals estimated from the four-pair packet.
Reset keeps your prediction, captures and practice history.
| Quantity | Value | Unit |
|---|---|---|
| Planned independent units | 8 | units |
| Assumed known population deviation | 2 | mg/L |
| Planned mean standard error | 0.7071068 | mg/L |
| Nominal normal 95% half-width | 1.385929 | mg/L |
| Units needed for half-width at most 1 | 16 | independent units |
Precision depends on independent information, not the number of repeated readings alone.
This known-σ normal planning formula is not a fitted confidence interval from four pairs. Clustered observations, unknown variance, attrition and nonnormal small samples require a different design or uncertainty calculation.
Predict, change one control, and retain contrasting captures. Reconstruct the analysis and decision rule before opening feedback. Display precision is not measurement precision.
Precision depends on independent information, not the number of repeated readings alone.
This known-σ normal planning formula is not a fitted confidence interval from four pairs. Clustered observations, unknown variance, attrition and nonnormal small samples require a different design or uncertainty calculation.
Captures preserve recipes and replay their calculated results. They are synthetic model evidence, not physical measurements.
Understand
Apply
Public practice checks a specific claim. It does not establish independent mastery.
With known σ3 mg/L, how many independent units meet half-width 1? What half-width does n 16 give?
Continue
Completion requires a saved prediction, at least one capture and a reflection. Presence checks do not grade your reasoning.
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