WEBVTT

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The learning dashboard contains ten
fictional temperature-indication

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errors in degrees Celsius: 0.1, 0.2, 0.1,

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0.3, 0.2, 0.4, 0.3,

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0.5, 0.4 and 0.6.

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They illustrate a time-ordered pattern.

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They are not calibration data from a real
instrument and do not define

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a pharmaceutical tolerance.

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The total is 3.1 °C across ten errors,

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giving a mean error of 0.31 °C.

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The range is 0.6 minus 0.1,

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or 0.5 °C.

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The highest error is 0.6 °C.

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The chart includes the underlying values
in a table so that learners can

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check the arithmetic without relying on
colour or vision.

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These summaries describe this small
dataset only.

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For arithmetic practice only, set an
illustrative absolute-error limit of

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0.5 °C.

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Nine of the ten observations meet that
example limit and one does not.

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The limit is not an official criterion and
does not qualify an instrument.

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The upward pattern also deserves attention
even before a limit is exceeded.

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In a real investigation, examine
measurement uncertainty, reference

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suitability, conditions and data integrity
before drawing conclusions.

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Do not calculate a confident capability
claim from these ten convenient values.

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A meaningful analysis requires a suitable
study design and understanding

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of the measurement system and process
behaviour.

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In the activity, change the illustrative
limit,

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observe the count and explain what
information is still missing.

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More green points do not create more
knowledge.

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The purpose is to practice transparent
calculation and proportionate

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interpretation, not to approve a system.
