Evaluating method & dimensional analysis
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All 13 Flashcards — Evaluating method & dimensional analysis
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Question
What is a control variable?
Answer
A quantity you deliberately keep **constant** during an experiment so it can't affect the result and the test stays fair.
Question
What is an anomaly (anomalous reading)?
Answer
A reading clearly **out of line** with the others (a one-off mistake) — discard it before averaging.
Question
Why repeat a reading and average it?
Answer
To reduce **random** uncertainty — the chance scatter up and down partly **cancels**, so the mean is more reliable.
Question
Does averaging reduce a systematic error?
Answer
**No** — a systematic error shifts every reading the same way. Fix the instrument or method (e.g. zero it).
Question
Random vs systematic — quick test?
Answer
Random = readings **scatter** around the true value (cured by averaging). Systematic = all readings **shifted** one way (not cured by averaging).
Question
What is dimensional analysis?
Answer
Balancing the **fundamental SI units** (kg, m, s, A) on both sides of an equation — to find an unknown power or state a constant's units.
Question
How do you find the units of a gradient?
Answer
Divide the **y-axis units by the x-axis units** (gradient = rise ÷ run), then simplify.
Question
How do you find an unknown exponent from units?
Answer
Balance the **base units one at a time** — each base unit (kg, m, s) gives one equation for the powers.
Question
Fundamental SI units of force?
Answer
**kg m s⁻²** (the newton, N = kg m s⁻²).
Question
Fundamental SI units of energy?
Answer
**kg m² s⁻²** (the joule, J = N m = kg m² s⁻²).
Question
Uncertainty rule for y = ab ÷ c (given)?
Answer
Add the **fractional** uncertainties: $\dfrac{\Delta y}{y} = \dfrac{\Delta a}{a} + \dfrac{\Delta b}{b} + \dfrac{\Delta c}{c}$.
Question
Uncertainty rule for y = a + b or a − b?
Answer
Add the **absolute** uncertainties: $\Delta y = \Delta a + \Delta b$ (it's a derived rule, not always printed).
Question
Uncertainty rule for y = aⁿ (given)?
Answer
Multiply the fractional uncertainty by $|n|$: $\dfrac{\Delta y}{y} = |n|\,\dfrac{\Delta a}{a}$.
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