Report measurements honestly and make a dimensioned sketch.
3 core ideas2 source trails3 recall prompts
Evidence map01—04
Readings have a spreadRepeatability, bias and resolution answer different questions about a measurement.Foundations · Modules
Build the idea
An original introduction, worked example and practice, followed by a curated reading sequence. The external courses supply deeper teaching and problem sets.
Scope and safety
This guide is an orientation, not a complete university module. Practical work needs suitable facilities, safety review and supervision.
A measurement is evidence with limits, not an exact number from a calculator. Keep raw readings, units, instrument details and the method so another person could repeat your work.
Module lens
Separate scatter from bias
Repeated readings show variation; a reference and instrument check help reveal a systematic offset.
Core relationshipx̄ = Σxi / n
Track
resolution · repeatability · bias
Ask yourself
What would averaging fail to remove?
Original Lilerno schematic · conceptual, not to scale
01
Separate resolution, repeatability and accuracy
Resolution is the smallest indicated change. Repeatability describes how close repeated readings are. Accuracy concerns closeness to the reference value; a consistently biased instrument can give very repeatable but inaccurate readings.
02
Preserve the raw record
Record every reading before averaging, including unexpected ones. Describe how the object was aligned and how zero was checked. Do not remove inconvenient data without a stated reason. Round a final reported result consistently with its uncertainty.
03
A mean is only the beginning
The mean summarizes repeated values but does not reveal bias or all uncertainty. An uncertainty budget may include calibration, resolution, alignment, environment and repeatability. Half the range is not a universal confidence interval.
Evidence map01—04
Readings have a spreadRepeatability, bias and resolution answer different questions about a measurement.
See the relationship
Change one quantity, watch the graph respond, then explain the result in your own words.
Predict → change → explain
Repeatability can hide a zero error
Shift every reading equally. Does their spread reveal the error?
1Reference: 50 mm
2Instrument zero
3Five readings
4Mean + limitations
Mean
50.1 mm
Range
0.2 mm
Synthetic readings
Reference
Axes: Reading number → Length (mm). Bounds may rescale when inputs change.
Mean = 50.1 mm; range = 0.2 mm. Averaging does not remove the 0.1 mm zero error.
Model assumptions and limits
Five synthetic readings of a 50 mm reference. Scatter is prescribed, not a random experiment. Range is not a confidence interval.
Original Lilerno illustration. Inputs are illustrative; this is not experimental evidence or a design rating.
Inspect the plotted values
Reading number and Length (mm); values rounded to four significant figures.
Series
Reading number
Length (mm)
Synthetic readings
1
50
Synthetic readings
2
50.15
Synthetic readings
3
50.2
Synthetic readings
4
50.05
Synthetic readings
5
50.1
Reference
1
50
Reference
1.05
50
Reference
1.1
50
Reference
1.15
50
Reference
1.2
50
Reference
1.25
50
Reference
1.3
50
Reference
1.35
50
Reference
1.4
50
Reference
1.45
50
Reference
1.5
50
Reference
1.55
50
Reference
1.6
50
Reference
1.65
50
Reference
1.7
50
Reference
1.75
50
Reference
1.8
50
Reference
1.85
50
Reference
1.9
50
Reference
1.95
50
Reference
2
50
Reference
2.05
50
Reference
2.1
50
Reference
2.15
50
Reference
2.2
50
Reference
2.25
50
Reference
2.3
50
Reference
2.35
50
Reference
2.4
50
Reference
2.45
50
Reference
2.5
50
Reference
2.55
50
Reference
2.6
50
Reference
2.65
50
Reference
2.7
50
Reference
2.75
50
Reference
2.8
50
Reference
2.85
50
Reference
2.9
50
Reference
2.95
50
Reference
3
50
Reference
3.05
50
Reference
3.1
50
Reference
3.15
50
Reference
3.2
50
Reference
3.25
50
Reference
3.3
50
Reference
3.35
50
Reference
3.4
50
Reference
3.45
50
Reference
3.5
50
Reference
3.55
50
Reference
3.6
50
Reference
3.65
50
Reference
3.7
50
Reference
3.75
50
Reference
3.8
50
Reference
3.85
50
Reference
3.9
50
Reference
3.95
50
Reference
4
50
Reference
4.05
50
Reference
4.1
50
Reference
4.15
50
Reference
4.2
50
Reference
4.25
50
Reference
4.3
50
Reference
4.35
50
Reference
4.4
50
Reference
4.45
50
Reference
4.5
50
Reference
4.55
50
Reference
4.6
50
Reference
4.65
50
Reference
4.7
50
Reference
4.75
50
Reference
4.8
50
Reference
4.85
50
Reference
4.9
50
Reference
4.95
50
Reference
5
50
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Original Lilerno example
Three illustrative length readings are 50.1, 50.2 and 50.0 mm. Find their mean and range.
01
Preserve all three raw readings.
02
Mean = (50.1 + 50.2 + 50.0)/3 = 50.1 mm.
03
Range = maximum − minimum = 0.2 mm.
04
Do not interpret the range as a complete uncertainty budget.
xˉ=50.1mm,R=50.2−50.0=0.2mm
These are illustrative data, not measurements taken by Lilerno. More evidence is needed to assess accuracy.
Evidence map01—04
Readings have a spreadRepeatability, bias and resolution answer different questions about a measurement.
Test the model
Open learning, traceable sources
Work in this order. These links open the publisher’s material; free access does not always permit republication.
Read the measurement-process overview; list possible uncertainty contributions for a length measurement.
Recall, then record
Close the explanation and answer these in your own words. Return tomorrow, then again later in the week.
01
Can a precise result be biased?
02
Why preserve raw data?
03
Which uncertainty sources will averaging not remove?
Engineering notebook
Measure a book five times with an ordinary ruler. Record the instrument's graduations, alignment method, raw readings, mean and limitations. No power tools are needed.
Your study record
Self-reported tasks, not an assessment of mastery or university credit. Reading a page does not complete a chapter.
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Open learning, traceable sources
Read further
Checked 2026-09-06
Original Lilerno lessons and diagrams, supported by these references. Free access does not always permit republication. Links open the publisher’s material.
College Physics 2e · Accuracy, precision and significant figuresOpenStax+
Foundational measurement vocabulary and reporting limits.
External reading only; no textbook text or figures redistributed. Verify current book and asset terms before reuse.