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The resulting current is measured to determine the lamp’s I-V characteristic."},{"text":"Current.","correct":false,"explanation":"Current is the dependent variable measured after each adjustment, not the quantity deliberately changed. Potential difference is varied to investigate how current responds."},{"text":"Resistance.","correct":false,"explanation":"Resistance changes as the filament heats, but it is not adjusted directly. Potential difference is deliberately changed, while current is measured and resistance can be calculated."},{"text":"Temperature.","correct":false,"explanation":"Temperature varies because electrical heating changes the filament’s resistance, but it is not the deliberately adjusted variable. The independent variable is potential difference."}]},{"id":"a3c4e0ad-46cc-4a8f-b82c-89c1a258d90b","cardType":"basic","points":1,"front":"In a spring-extension investigation, what is measured in response to force?","back":"Extension of the spring.","mcqOptions":[{"text":"Extension of the spring.","correct":true,"explanation":"Extension is the dependent variable measured as force is changed. It is the increase in the spring’s length compared with its original unloaded length."},{"text":"Stiffness of the spring.","correct":false,"explanation":"Stiffness is a property inferred from the force-extension relationship, rather than the direct response measured. The measured response to force is the spring’s extension."},{"text":"Mass of the spring.","correct":false,"explanation":"The spring’s mass is not its response to an applied force. The extension is measured by subtracting the spring’s original length from its loaded length."},{"text":"Weight of the spring.","correct":false,"explanation":"Weight is a force caused by gravity, not the measured response of the spring. The investigation measures the spring’s extension as the applied force changes."}]},{"id":"1838d59d-5dfb-4c0e-b908-4d62d2e6c09a","cardType":"cloze","points":null,"front":"Control variables are kept constant so the test is [ ].","back":"Control variables are kept constant so the test is fair.","mcqOptions":[{"text":"fair","correct":true,"explanation":"A fair test changes only the independent variable while keeping relevant control variables constant, allowing changes in the dependent variable to be attributed to one cause."},{"text":"accurate","correct":false,"explanation":"Accuracy describes closeness to a true or accepted value and depends on measurement quality. Keeping control variables constant specifically makes the test fair."},{"text":"repeatable","correct":false,"explanation":"Repeatability means the same person obtains similar results using the same method and equipment. Constant control variables instead ensure that the test is fair."},{"text":"reproducible","correct":false,"explanation":"Reproducibility means similar results are obtained by different people or equipment. Keeping control variables constant is required primarily to make the comparison fair."}]},{"id":"8d39e786-ec4d-4647-b1b1-885c8da7c292","cardType":"basic","points":2,"front":"If the spring and mass are changed at the same time, why is the test unfair?","back":"You cannot tell which change caused the new extension.","mcqOptions":[{"text":"You cannot tell which change caused the new extension.","correct":true,"explanation":"Changing both the spring and mass introduces two possible causes of the new extension. Only one independent variable should change in a fair test."},{"text":"You cannot tell which scale measured the new extension.","correct":false,"explanation":"The measuring scale can still be identified; the problem is that two variables changed together. You cannot determine whether the spring or mass caused the new extension."},{"text":"You cannot tell which force balanced the new extension.","correct":false,"explanation":"Force and extension are not alternatives that must be identified as balancing causes. The test is unfair because changing both spring and mass prevents isolating the cause."},{"text":"You cannot tell which reading repeated the new extension.","correct":false,"explanation":"Repeating readings concerns reliability, not whether variables are properly controlled. Changing the spring and mass together means the cause of the new extension cannot be identified."}]},{"id":"ab15eac7-d0fc-406e-9547-7e96f92f624f","cardType":"cloze","points":null,"front":"A hazard could cause [ ]; a risk is the chance and seriousness of that harm.","back":"A hazard could cause harm; a risk is the chance and seriousness of that harm.","mcqOptions":[{"text":"harm","correct":true,"explanation":"A hazard is something with the potential to cause harm. Risk describes both the likelihood that the harm will occur and the seriousness of its consequences."},{"text":"error","correct":false,"explanation":"An error affects a measurement or result, whereas a hazard concerns possible injury or damage. A hazard could cause harm, with risk describing its likelihood and seriousness."},{"text":"uncertainty","correct":false,"explanation":"Uncertainty expresses the range within which a measured value is expected to lie. A hazard could cause harm, while risk evaluates the chance and severity of that harm."},{"text":"anomaly","correct":false,"explanation":"An anomaly is a result that does not fit the general pattern. A hazard is a potential source of harm, and risk measures its likelihood and seriousness."}]},{"id":"c08c2414-da26-4727-8207-47141418d291","cardType":"basic","points":1,"front":"Name one specific control measure for a hot resistor practical.","back":"Limit the current.","mcqOptions":[{"text":"Limit the current.","correct":true,"explanation":"Limiting the current reduces electrical heating in the resistor, lowering the likelihood of burns, component damage and excessive temperature changes during the practical."},{"text":"Increase the current.","correct":false,"explanation":"Increasing current raises the resistor’s heating effect and therefore increases the hazard. The current should be limited to reduce overheating and the risk of burns."},{"text":"Touch the resistor.","correct":false,"explanation":"Touching the resistor could cause a burn because it may become very hot. Limiting the current is a suitable control measure because it restricts heating."},{"text":"Bypass the resistor.","correct":false,"explanation":"Bypassing the resistor does not control its temperature during the intended experiment and could create a very large current. The appropriate measure is to limit the current."}]},{"id":"e13cadb5-8c41-4390-b517-5429f7fe94c4","cardType":"basic","points":2,"front":"Why switch off a heating component between circuit readings?","back":"Temperature changes can affect resistance and data quality.","mcqOptions":[{"text":"Temperature changes can affect resistance and data quality.","correct":true,"explanation":"A heating component’s resistance depends on temperature. Switching it off between readings limits uncontrolled temperature drift, improving the validity and consistency of the data."},{"text":"Voltage changes can affect resistance and data quality.","correct":false,"explanation":"Voltage is normally the deliberately varied quantity, not the factor controlled by switching the component off. The purpose is to limit temperature changes that alter resistance."},{"text":"Polarity changes can affect resistance and data quality.","correct":false,"explanation":"Switching off does not prevent polarity changes, and polarity does not normally alter an ordinary heating component’s resistance. It limits temperature changes that would distort the data."},{"text":"Wire lengths can affect resistance and data quality.","correct":false,"explanation":"Wire length can affect resistance, but switching the circuit off does not alter or control it. Switching off allows cooling and reduces temperature-related resistance changes."}]},{"id":"af97ccab-cd74-4273-aa19-7e7cdb37cf6c","cardType":"cloze","points":null,"front":"A result is repeatable if the [ ] using the same method and equipment obtains similar results.","back":"A result is repeatable if the same person using the same method and equipment obtains similar results.","mcqOptions":[{"text":"same person","correct":true,"explanation":"Repeatability concerns whether the same person can obtain similar results using the same method and equipment. It tests consistency when the experimental conditions are closely matched."},{"text":"different person","correct":false,"explanation":"Results obtained by a different person relate to reproducibility, especially if equipment also changes. Repeatability requires the same person to repeat the method with the same equipment."},{"text":"equipment manufacturer","correct":false,"explanation":"The manufacturer is not the person carrying out repeated measurements. Repeatability requires the same person to use the same method and equipment and obtain similar results."},{"text":"laboratory technician","correct":false,"explanation":"A technician could repeat the experiment, but if someone else performed it initially this would test reproducibility. Repeatability specifically requires the same person."}]},{"id":"3869b1be-e302-4463-bca0-e074e6ea6c5f","cardType":"cloze","points":null,"front":"A result is reproducible if [ ] obtain similar results.","back":"A result is reproducible if different people, methods or equipment obtain similar results.","mcqOptions":[{"text":"different people, methods or equipment","correct":true,"explanation":"Reproducibility means that changing the person, method or equipment still produces similar results, indicating that the finding is not dependent on one particular procedure."},{"text":"the same person using the same method","correct":false,"explanation":"Repeated results from the same person and method demonstrate repeatability, not reproducibility. Reproducibility requires different people, methods or equipment to obtain similar results."},{"text":"one person taking several readings","correct":false,"explanation":"Several readings taken by one person may test repeatability and help identify random variation. Reproducibility requires different people, methods or equipment to obtain similar results."},{"text":"all measurements having identical values","correct":false,"explanation":"Results need only be similar within their uncertainties, not identical. Reproducibility specifically involves different people, methods or equipment obtaining similar results."}]},{"id":"7083d350-0e5d-4b9f-a3a3-1eec2460be42","cardType":"basic","points":2,"front":"Why should method changes during a practical be recorded?","back":"They can affect uncertainty and comparability.","mcqOptions":[{"text":"They can affect uncertainty and comparability.","correct":true,"explanation":"Changing the procedure can alter the uncertainty or introduce systematic differences, so recording changes allows results to be interpreted fairly and compared meaningfully."},{"text":"They can remove uncertainty and variability.","correct":false,"explanation":"Recording a change does not remove uncertainty or variability. Method changes must be documented because they can affect uncertainty and the validity of comparisons between results."},{"text":"They can guarantee accuracy and repeatability.","correct":false,"explanation":"A recorded method change does not guarantee accurate or repeatable results. It is recorded because it may alter uncertainty and make direct comparisons less valid."},{"text":"They can prevent anomalies and random errors.","correct":false,"explanation":"Documenting changes cannot prevent anomalous readings or random errors. The purpose is to show factors that may have affected uncertainty and comparability."}]},{"id":"9dce32d6-f999-4d55-aa8e-dbf5b5603e35","cardType":"basic","points":1,"front":"Which is a measurement: “0.38 A” or “the filament glowed brighter”?","back":"0.38 A.","mcqOptions":[{"text":"0.38 A.","correct":true,"explanation":"A measurement consists of a numerical value and an appropriate unit. Here, 0.38 is the measured current and amperes are its unit."},{"text":"The filament glowed brighter.","correct":false,"explanation":"Brightness described without a numerical value is a qualitative observation, not a measurement. The measurement is 0.38 A because it includes both a value and a unit."},{"text":"Both statements.","correct":false,"explanation":"Only the current value is a measurement. The statement about brightness is a qualitative observation because no numerical value or unit is given."},{"text":"Neither statement.","correct":false,"explanation":"The current value is a valid measurement because it combines a number with the unit A. The statement about the filament is only qualitative."}]},{"id":"ef782722-7fb6-43ef-8444-efd8bfbb5cd3","cardType":"cloze","points":null,"front":"Instrument resolution is the [ ] it can display or reliably measure.","back":"Instrument resolution is the smallest change it can display or reliably measure.","mcqOptions":[{"text":"smallest change","correct":true,"explanation":"Resolution is the smallest change in a quantity that an instrument can display or distinguish reliably, such as 0.01 V on a digital voltmeter."},{"text":"largest change","correct":false,"explanation":"The largest measurable change relates more closely to an instrument’s range. Resolution is the smallest change that the instrument can display or distinguish reliably."},{"text":"smallest reading","correct":false,"explanation":"The smallest reading is not necessarily the instrument’s resolution, since an instrument may read zero. Resolution is the smallest detectable change between readings."},{"text":"full range","correct":false,"explanation":"Range is the interval between the minimum and maximum measurable values, not the instrument’s resolution. Resolution is the smallest change it can display reliably."}]},{"id":"745584e6-043b-4387-b6e5-99cca55a051b","cardType":"basic","points":1,"front":"For a digital instrument single reading, what uncertainty is often used?","back":"About ± one smallest displayed division.","mcqOptions":[{"text":"About ± one smallest displayed division.","correct":true,"explanation":"A digital instrument rounds its display to the final digit, so a common conservative estimate for a single reading is ± one smallest displayed division."},{"text":"About ± half the smallest displayed division.","correct":false,"explanation":"Using half a division is the common rule for reading an analogue scale. For a single digital reading, about ± one smallest displayed division is often used."},{"text":"About ± two smallest displayed divisions.","correct":false,"explanation":"Two displayed divisions usually overestimates the uncertainty without additional evidence of fluctuation. A standard estimate for one digital reading is about ± one smallest displayed division."},{"text":"About ± the instrument’s full measurement range.","correct":false,"explanation":"The full range describes the instrument’s measurement limits and would greatly overstate reading uncertainty. A digital single reading commonly uses ± one smallest displayed division."}]},{"id":"11780b66-13eb-4be8-83b7-22539cc93492","cardType":"basic","points":1,"front":"For an analogue scale, what reading uncertainty is often used?","back":"About ± half the smallest scale division.","mcqOptions":[{"text":"About ± half the smallest scale division.","correct":true,"explanation":"An analogue reading is normally estimated between adjacent markings, so its reading uncertainty is commonly taken as ± half the value of the smallest scale division."},{"text":"About ± one smallest scale division.","correct":false,"explanation":"One full division is the rule often associated with a digital instrument’s final displayed digit. An analogue scale commonly uses ± half its smallest division."},{"text":"About ± two smallest scale divisions.","correct":false,"explanation":"Two divisions would usually exaggerate the uncertainty of reading a clear analogue scale. The conventional estimate is ± half the smallest scale division."},{"text":"About ± the instrument’s full scale range.","correct":false,"explanation":"Full scale range gives the span of measurable values, not the reading uncertainty. For an analogue scale, the usual estimate is ± half the smallest division."}]},{"id":"90c6abfd-dae9-4afe-b4a4-7b7ad363f234","cardType":"basic","points":1,"front":"A ruler has 1 mm divisions. What is a sensible analogue reading uncertainty?","back":"±0.5 mm.","mcqOptions":[{"text":"±0.5 mm.","correct":true,"explanation":"For an analogue scale, the reading uncertainty is commonly half the smallest division. Half of the ruler’s 1 mm division is 0.5 mm."},{"text":"±1 mm.","correct":false,"explanation":"This uses a whole scale division rather than half a division. For a ruler marked every 1 mm, a sensible analogue reading uncertainty is ±0.5 mm."},{"text":"±2 mm.","correct":false,"explanation":"This doubles the smallest scale division and substantially overestimates normal reading uncertainty. Half of a 1 mm division gives the appropriate estimate of ±0.5 mm."},{"text":"±0.1 mm.","correct":false,"explanation":"This assumes the ruler can resolve one tenth of its smallest marked division, which is unjustified. Half of the 1 mm division gives ±0.5 mm."}]},{"id":"9fcd9729-5521-4658-830a-00f5b5590581","cardType":"basic","points":1,"front":"Where should units go in a results table?","back":"In column headings, e.g. time / s.","mcqOptions":[{"text":"In column headings, e.g. time / s.","correct":true,"explanation":"Placing the unit once in each column heading clearly identifies the unit for every value while keeping the data cells uncluttered and consistently formatted."},{"text":"In every data cell, e.g. 2.4 s.","correct":false,"explanation":"Repeating units in every cell clutters the table and can interfere with numerical processing. Units should appear in column headings, such as time / s."},{"text":"In the table title, e.g. results in s.","correct":false,"explanation":"A title cannot clearly assign units when different columns contain different quantities. Each unit should be placed in its relevant column heading, such as time / s."},{"text":"In the first data row, e.g. unit = s.","correct":false,"explanation":"A unit written in the first row may be mistaken for data and does not label the column conventionally. Units belong in column headings, such as time / s."}]},{"id":"38e709a2-883e-46d2-8a1a-c0796cadd5a2","cardType":"basic","points":2,"front":"Why should raw readings not be overwritten by processed values?","back":"Original raw data must remain checkable.","mcqOptions":[{"text":"Original raw data must remain checkable.","correct":true,"explanation":"Keeping the original raw data allows readings to be checked for transcription errors, reprocessed using alternative methods, and compared directly with the observations recorded during the experiment."},{"text":"Only the final processed data need remain checkable.","correct":false,"explanation":"Processed values may depend on rounding, corrections or calculation choices, so retaining only them prevents later verification. Original raw data must remain checkable."},{"text":"The experiment can always be repeated if necessary.","correct":false,"explanation":"Repeating an experiment does not guarantee identical readings and is often impractical. Original raw data must remain checkable so calculations and transcription can be verified."},{"text":"Processed values are always more reliable than readings.","correct":false,"explanation":"Processed values are not automatically more reliable because errors may have been introduced during calculation or rounding. Original raw data must remain checkable."}]},{"id":"399722d6-03f4-4582-918c-fca13df89200","cardType":"cloze","points":null,"front":"On a graph, the independent variable normally goes on the [ ], and the dependent variable on the [ ].","back":"On a graph, the independent variable normally goes on the horizontal axis, and the dependent variable on the vertical axis.","mcqOptions":[{"text":"On a graph, the independent variable normally goes on the horizontal axis, and the dependent variable on the vertical axis.","correct":true,"explanation":"The independent variable is deliberately changed and conventionally plotted horizontally. The dependent variable is measured in response and conventionally plotted vertically."},{"text":"On a graph, the independent variable normally goes on the vertical axis, and the dependent variable on the horizontal axis.","correct":false,"explanation":"This reverses the standard plotting convention. The independent variable normally belongs on the horizontal axis, while the dependent variable belongs on the vertical axis."},{"text":"On a graph, the independent variable normally goes on the horizontal axis, and the dependent variable on the horizontal axis.","correct":false,"explanation":"Putting both variables on the horizontal axis would not define two-dimensional coordinates. The independent variable goes horizontally and the dependent variable goes vertically."},{"text":"On a graph, the independent variable normally goes on the vertical axis, and the dependent variable on the vertical axis.","correct":false,"explanation":"Putting both variables on the vertical axis prevents each point from having an independent horizontal coordinate. The independent variable goes horizontally and the dependent variable goes vertically."}]},{"id":"4fae231f-f656-4612-a373-954766892186","cardType":"basic","points":1,"front":"What should a best-fit line represent?","back":"The overall trend, with points scattered reasonably around it.","mcqOptions":[{"text":"The overall trend, with points scattered reasonably around it.","correct":true,"explanation":"A best-fit line summarises the relationship shown by all valid data points. Random scatter should be reasonably balanced around it rather than forcing the line through every point."},{"text":"The expected origin, with all points lying above it.","correct":false,"explanation":"A best-fit line need not pass through the origin unless theory and the data justify a zero intercept. It should represent the overall trend, with balanced scatter."},{"text":"Every individual point, with adjacent points joined directly.","correct":false,"explanation":"Joining successive points exaggerates random fluctuations and does not summarise the relationship. A best-fit line should represent the overall trend, with reasonable scatter around it."},{"text":"The two most extreme readings, regardless of other points.","correct":false,"explanation":"Fitting only the extreme readings ignores most of the evidence and makes anomalies overly influential. The line should represent the overall trend across all valid points."}]},{"id":"953f3a36-9a63-4250-a412-1820388985f7","cardType":"basic","points":1,"front":"When finding a gradient, which points should be used?","back":"Two well-separated points on the best-fit line.","mcqOptions":[{"text":"Two well-separated points on the best-fit line.","correct":true,"explanation":"Using two well-separated points increases the changes in both coordinates, reducing the percentage effect of reading uncertainty. The selected points must lie on the best-fit line."},{"text":"Two adjacent points on the best-fit line.","correct":false,"explanation":"Nearby points produce small coordinate differences, so reading uncertainties create a large percentage uncertainty in the gradient. Use two well-separated points on the best-fit line."},{"text":"Two well-separated plotted data points.","correct":false,"explanation":"Measured data points may be scattered away from the modelled trend, so using them can distort the gradient. Use two well-separated points on the best-fit line."},{"text":"Two end readings from the data table.","correct":false,"explanation":"The first and last readings may be anomalous or may not lie exactly on the fitted line. Use two well-separated points on the best-fit line."}]},{"id":"06e7069b-210c-4b6d-8fee-b402b1329f34","cardType":"cloze","points":null,"front":"Graph gradient = [ ] divided by [ ].","back":"Graph gradient = change in vertical quantity divided by change in horizontal quantity.","mcqOptions":[{"text":"Graph gradient = change in vertical quantity divided by change in horizontal quantity.","correct":true,"explanation":"Gradient is rise divided by run: the change in the vertical coordinate is divided by the corresponding change in the horizontal coordinate between two points."},{"text":"Graph gradient = change in horizontal quantity divided by change in vertical quantity.","correct":false,"explanation":"This calculates run divided by rise, giving the reciprocal of the required gradient. Gradient is change in vertical quantity divided by change in horizontal quantity."},{"text":"Graph gradient = final vertical quantity divided by final horizontal quantity.","correct":false,"explanation":"Using final coordinates instead of coordinate changes incorrectly assumes the line passes through the origin. Gradient requires change in vertical quantity divided by change in horizontal quantity."},{"text":"Graph gradient = change in vertical quantity divided by change in vertical quantity.","correct":false,"explanation":"Dividing a vertical change by another vertical change does not compare rise with run and produces no graph gradient. The denominator must be the change in horizontal quantity."}]},{"id":"f0588eb0-357b-4ebb-a5de-b136a8830fb2","cardType":"basic","points":1,"front":"For a V-I graph, what does the gradient represent for an ohmic resistor?","back":"The resistance.","mcqOptions":[{"text":"The resistance.","correct":true,"explanation":"With voltage on the vertical axis and current on the horizontal axis, the gradient is $rac{\\Delta V}{\\Delta I}$. Ohm’s law, $V=IR$, identifies this ratio as resistance."},{"text":"The conductance.","correct":false,"explanation":"Conductance is $rac{I}{V}$, the reciprocal of resistance. For a V-I graph with voltage plotted vertically, the gradient $rac{Delta V}{Delta I}$ represents resistance."},{"text":"The power.","correct":false,"explanation":"Electrical power is $VI$, not the gradient of voltage against current. From $V=IR$, the V-I gradient $rac{Delta V}{Delta I}$ is the resistance."},{"text":"The resistivity.","correct":false,"explanation":"Resistivity is a material property requiring the conductor’s length and cross-sectional area. A V-I graph alone gives the component’s resistance from its gradient."}]},{"id":"81a4ad99-c172-4b44-881e-2e4b6c6e85cf","cardType":"basic","points":2,"front":"A V-I graph uses points (0.20 A, 1.6 V) and (0.80 A, 6.4 V). What is the gradient?","back":"8.0 Ω.","mcqOptions":[{"text":"8.0 Ω.","correct":true,"explanation":"The gradient is $rac{Delta V}{Delta I}=rac{6.4-1.6}{0.80-0.20}=rac{4.8}{0.60}=8.0\\text{ Ω}$. Voltage divided by current has units of resistance."},{"text":"10.7 Ω.","correct":false,"explanation":"Using $6.4$ V instead of the voltage change gives $rac{6.4}{0.60}=10.7$ Ω. Both coordinates must be subtracted, giving $rac{4.8}{0.60}=8.0$ Ω."},{"text":"6.0 Ω.","correct":false,"explanation":"Using $0.80$ A instead of the current change gives $rac{4.8}{0.80}=6.0$ Ω. The correct denominator is $0.80-0.20=0.60$ A, giving $8.0$ Ω."},{"text":"0.125 Ω.","correct":false,"explanation":"Calculating current change divided by voltage change reverses the gradient and gives $0.125$ as a conductance. A V-I gradient is $rac{Delta V}{Delta I}=8.0$ Ω."}]},{"id":"532f0636-3dfe-4ba3-a6d5-56817a43256e","cardType":"basic","points":2,"front":"Why should spreadsheet gradients not be quoted to many decimal places automatically?","back":"Extra digits may not be meaningful for the data.","mcqOptions":[{"text":"Extra digits may not be meaningful for the data.","correct":true,"explanation":"A calculated gradient cannot justifiably have greater precision than the measurements used to obtain it. Excess decimal places imply unsupported certainty and may not be meaningful."},{"text":"Extra digits make the gradient mathematically incorrect.","correct":false,"explanation":"A spreadsheet can calculate many digits consistently, but numerical consistency does not make them experimentally justified. Extra digits may not be meaningful given the precision of the data."},{"text":"Extra digits may change the units of the gradient.","correct":false,"explanation":"Decimal places do not change the physical unit of a gradient; the plotted quantities determine its unit. The concern is that extra digits may not be meaningful."},{"text":"Extra digits always alter the best-fit line.","correct":false,"explanation":"Displaying additional digits does not necessarily change the fitted line or its calculated gradient. It instead suggests unjustified precision because those digits may not be meaningful."}]},{"id":"96404044-5b7e-4ebd-8675-f55e8a17622a","cardType":"basic","points":1,"front":"How can parallax error be reduced when reading an analogue scale?","back":"View with your eye perpendicular to the scale.","mcqOptions":[{"text":"View with your eye perpendicular to the scale.","correct":true,"explanation":"Looking perpendicular to the scale prevents the pointer or graduation from appearing displaced relative to the eye, reducing the apparent reading error caused by parallax."},{"text":"View with your eye parallel to the scale.","correct":false,"explanation":"Viewing parallel to the scale increases the angle between the eye and the pointer, making its apparent position shift. The eye should be perpendicular to the scale."},{"text":"View with your eye above the scale.","correct":false,"explanation":"Looking from above creates an angled viewpoint, so the pointer can appear displaced from its true position. Reading perpendicular to the scale reduces parallax error."},{"text":"View with your eye below the scale.","correct":false,"explanation":"Looking from below also produces an angled viewpoint and changes the apparent alignment of the pointer. The correct position is with the eye perpendicular to the scale."}]},{"id":"41d9de0f-c748-4485-a256-6d33b9fe9804","cardType":"basic","points":1,"front":"Best instrument for a wire diameter of about 0.40 mm?","back":"A micrometer.","mcqOptions":[{"text":"A micrometer.","correct":true,"explanation":"A micrometer is designed to measure small dimensions accurately and has a suitable resolution for determining a wire diameter of about 0.40 mm."},{"text":"A metre rule.","correct":false,"explanation":"A metre rule usually has only 1 mm resolution, which is too coarse for measuring a 0.40 mm diameter accurately. A micrometer is the suitable instrument."},{"text":"A stopwatch.","correct":false,"explanation":"A stopwatch measures time rather than length, so it cannot determine the diameter of a wire. A micrometer directly measures small lengths with suitable resolution."},{"text":"A thermometer.","correct":false,"explanation":"A thermometer measures temperature, not diameter, so it provides no relevant measurement of the wire. A micrometer is designed for small dimensional measurements."}]},{"id":"43bee1aa-4432-4ad5-ac2a-3ea195dba977","cardType":"basic","points":2,"front":"Why is a metre rule unsuitable for a 0.40 mm wire diameter?","back":"Its 1 mm resolution is larger than the diameter.","mcqOptions":[{"text":"Its 1 mm resolution is larger than the diameter.","correct":true,"explanation":"A 0.40 mm wire is smaller than the 1 mm divisions that can normally be resolved with a metre rule, so the rule cannot measure its diameter accurately."},{"text":"Its 1 mm resolution is smaller than the diameter.","correct":false,"explanation":"This reverses the comparison: 1 mm is larger than 0.40 mm, not smaller. That coarse resolution makes a metre rule unsuitable; its 1 mm resolution is larger than the diameter."},{"text":"Its 1 cm resolution is larger than the diameter.","correct":false,"explanation":"A metre rule is normally read to about 1 mm, not 1 cm. Although 1 cm would also be too coarse, the correct reason is that its 1 mm resolution is larger than the diameter."},{"text":"Its 0.1 mm resolution is larger than the diameter.","correct":false,"explanation":"A 0.1 mm resolution would be smaller than 0.40 mm and could provide a suitable measurement. The metre rule is unsuitable because its 1 mm resolution is larger than the diameter."}]},{"id":"dda39804-d575-40e0-9ad5-f098bfbd1f86","cardType":"basic","points":1,"front":"Name one reason high resolution equipment can still give poor data.","back":"Zero error.","mcqOptions":[{"text":"Zero error.","correct":true,"explanation":"Zero error shifts every reading by a systematic amount, so even equipment with high resolution can produce inaccurate data unless the offset is identified and corrected."},{"text":"High precision.","correct":false,"explanation":"High precision means repeated readings are closely grouped and does not itself cause poor data. Zero error can make all precise readings systematically inaccurate."},{"text":"More decimal places.","correct":false,"explanation":"Displaying more decimal places improves the stated resolution but cannot guarantee accuracy. A zero error can still shift every reading away from the true value."},{"text":"SI units.","correct":false,"explanation":"Using SI units standardises measurements but does not make them inaccurate. High-resolution equipment can still give poor data when it has a zero error."}]},{"id":"106ad08d-813c-4838-a740-93d6617f4705","cardType":"basic","points":2,"front":"What graph feature supports “force is directly proportional to extension”?","back":"A straight line through the origin within uncertainty.","mcqOptions":[{"text":"A straight line through the origin within uncertainty.","correct":true,"explanation":"Direct proportionality means the ratio of force to extension is constant, giving a straight-line graph that passes through the origin within experimental uncertainty."},{"text":"A straight line not through the origin within uncertainty.","correct":false,"explanation":"A straight line with a non-zero intercept shows a linear relationship but not direct proportionality. Direct proportionality requires the line to pass through the origin within uncertainty."},{"text":"A curve through the origin within uncertainty.","correct":false,"explanation":"Passing through the origin alone is insufficient: a curve indicates that the ratio of force to extension changes. Direct proportionality requires a straight line through the origin."},{"text":"A horizontal line through the origin within uncertainty.","correct":false,"explanation":"A horizontal line indicates no change in extension as force changes, rather than a constant non-zero ratio. Direct proportionality is supported by a straight line through the origin."}]},{"id":"b048069a-0c1c-460c-a80c-357d2ea90102","cardType":"basic","points":2,"front":"What makes an experimental improvement specific?","back":"It names the equipment and the reason.","mcqOptions":[{"text":"It names the equipment and the reason.","correct":true,"explanation":"A specific improvement identifies exactly what equipment or method should change and explains why that change improves accuracy, precision, reliability, or validity."},{"text":"It names the measurement and the result.","correct":false,"explanation":"Stating a measurement and result describes the experiment rather than improving it. A specific improvement must identify the equipment and give a reason for the change."},{"text":"It names the variable and the conclusion.","correct":false,"explanation":"A variable and conclusion may explain the investigation, but they do not specify how to improve it. The improvement must name equipment and the reason for using it."},{"text":"It names the method and the measurement.","correct":false,"explanation":"Describing the method and measurement does not necessarily state what should be changed or why. A specific improvement names the equipment and explains the reason for the change."}]}]}],"examCountdown":{"examDate":"2027-05-21","paperLabel":"Paper 1"},"heading":"Practical skills","title":"Practical skills Flashcards","topbar":{"backHref":"/a-level/physics/ocr/a/flashcards"},"topicSidebar":"$L38"}]}],"topicId":"97c0a522-ff10-5742-bc2c-ec5d3ba47e52","walled":"$L39"}],"$L3a","$L3b"]