Extension + Working Scientifically Skills AT3 Prep Yr7 2025 MHS

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53 Terms

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Stepped leader

A channel of negative charge that moves downward from a cloud toward the ground during the start of a lightning strike.

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Return stroke

The powerful upward discharge from ground to cloud that we see as the bright lightning flash after the stepped leader connects.

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Ferromagnetic materials

Materials (e.g., iron, nickel, cobalt) that are strongly attracted to magnets and are good cores for electromagnets.

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Compass behaviour

A compass needle aligns with the local magnetic field; the needle points toward the magnetic north of the field being measured.

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Magnetic vs non-magnetic materials

Magnetic materials (ferromagnetic) are strongly attracted to magnets; non-magnetic materials (wood, plastic) show no attraction.

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SI units to remember

Always include units: mass (kg), weight/force (N), distance (m, cm, mm, µm), time (s), energy (J).

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SI prefixes

kilo (k = 10³), milli (m = 10⁻³), micro (µ = 10⁻⁶) — useful for microscope scales and unit conversions.

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Total magnification formula

Total magnification = eyepiece magnification × objective magnification (e.g., 10× × 40× = 400×).

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Estimate specimen size from FOV

Specimen size = fraction of FOV × FOV diameter. First find FOV at that magnification, then multiply by fraction.

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Units & showing working

Always show full working with units in calculations (e.g., W = m×g → 2 kg × 9.8 m/s² = 19.6 N).

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Random vs systematic error

Random errors vary between trials (reduced by repeats); systematic errors shift all results (fixed by calibration).

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Percent error (simple)

Percent error = |measured − true| / true × 100% — useful for assessing accuracy in practicals.

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Graph reading tip (LOBF)

Line of Best Fit should show general trend; don’t dot-to-dot. Use it to interpolate values and describe trend (increase/decrease/plateau).

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Word-list exam tip

Memorise exact phrasing from the word list for Part B — tests often require exact keywords.

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Exam logistics reminder

Part A = 30 MCQ (2B pencil), Part B = 10 word defs (one-word/short), Part C = 20 marks (show working, units, diagrams). 5 min reading + 70 min working time.

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Analog measurement

Device that indicates a value via a mechanical movement or pointer on a scale.

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Digital measurement

Device that displays a numeric value on a digital screen.

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Range

The maximum and minimum values a measuring device can accurately measure.

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Sensitivity

The smallest change in a quantity that a device can detect.

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Accuracy

How close a measured value is to the true or accepted value.

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Precision

How close repeated measurements are to one another (consistency).

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Calibration

Adjusting a device using a known standard so its readings are accurate.

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Repeat readings

Taking multiple measurements to assess precision and identify anomalies.

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Average (mean)

Calculate the sum of repeated measurements and divide by the number of trials to reduce random error.

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Outlier

A measurement that is very different from other repeated values and may be excluded if justified.

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Qualitative data

Non-numerical observations describing qualities or characteristics.

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Quantitative data

Numerical measurements that can be analysed statistically (e.g., mass, time, length).

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Observation

To notice or record events using the senses or instruments.

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Physical quantity

A measurable property (e.g., mass, length, time, temperature).

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Instrument range

Choose a tool where expected values fall well within its max and min to avoid truncation.

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Appropriate sensitivity

Select equipment that can detect the smallest meaningful change for your experiment.

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Validity

The degree to which an investigation measures what it is intended to measure (fair test).

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Reliability

The extent to which repeated trials produce similar results (repeatability).

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Controlled variable

A factor kept constant to ensure a fair test.

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Independent variable

The variable the experimenter deliberately changes (plotted on the x-axis).

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Dependent variable

The variable measured/responding to changes in the independent variable (plotted on the y-axis).

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Hypothesis

A testable prediction about the relationship between independent and dependent variables.

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Procedure (planning)

Numbered steps you will follow written in present tense with exact quantities and units.

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Method (reporting)

The written account of what you actually did, in past tense, incorporating any changes.

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Risk assessment

Table of hazards, risks and specific minimisation steps for safety during the practical.

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Hazard

A source of potential harm in an experiment (e.g., hot plate, chemicals, sharp glass).

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Minimisation (control)

Specific actions to reduce the chance of harm (e.g., PPE, safe handling steps).

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Scientific table rules

Include title, column headings with units, independent variable in first column, neat ruler-drawn borders.

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Table units

Place units in the column heading only; numbers in the body have no units next to them.

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Graph type selection

Line graph for trends/continuous data; column graph for discrete comparisons.

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Graph axes rules

Independent variable on horizontal axis, dependent on vertical axis; include labels and units.

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Graph scale

Start at zero when practical, choose even intervals, use at least half of each axis, mark scales clearly.

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Plotting points

Mark data points clearly (e.g., X) and do not join dots; draw a smooth line/curve or a straight LOBF as appropriate.

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Line of Best Fit

Single straight line or smooth curve representing the trend; aim for similar numbers of points above and below.

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Interpolation vs extrapolation

Interpolation estimates within data range (ok); extrapolation predicts outside range (less reliable).

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Recording trials

Record trial 1, trial 2, trial 3 and compute the average to improve precision.

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Error sources

List possible systematic and random errors and state how you minimised them.

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