📚 AS Physics: Measurements and Their Errors – Experimental Investigations | AS物理:测量与误差——实验探究
In experimental physics, every measurement carries some degree of uncertainty. Understanding how to quantify, combine, and minimise these errors is essential for producing reliable results and for meaningful scientific conclusions. This article covers the core ideas of measurements and their errors at the AS level, with a strong focus on experimental investigations as required by the OxfordAQA International AS Physics specification.
在实验物理学中,每次测量都带有一定程度的不确定度。理解如何量化、合成并尽量减少这些误差,对于得出可靠的结果和有意义的科学结论至关重要。本文涵盖了 AS 阶段测量及其误差的核心概念,并紧扣 OxfordAQA 国际 AS 物理大纲中对实验探究的要求。
1. The Nature of Measurement and Error | 测量与误差的本质
Measurement is the process of comparing a physical quantity with an agreed standard. However, no measurement can ever be absolutely exact — there is always an uncertainty, which we often refer to as an error. An error is the difference between a measured value and the true value of the quantity.
测量是将一个物理量与公认的标准进行比较的过程。然而,任何测量都不可能是绝对精确的——总存在着不确定度,我们常称之为误差。误差就是测量值与量的真值之间的差异。
Errors are not mistakes in the everyday sense; they arise from limitations in the measuring instrument, the method used, or the observer. In AS physics, we distinguish between two broad categories: systematic errors and random errors, both of which affect experimental outcomes in different ways.
误差并不意味着日常意义上的“错误”;它们来自测量仪器、所用方法或观察者的局限性。在 AS 物理中,我们区分两大类误差:系统误差和随机误差,它们以不同的方式影响实验结果。
2. Systematic and Random Errors | 系统误差与随机误差
Systematic errors cause all readings to be shifted in the same direction — consistently too high or consistently too low. They affect the accuracy of an experiment but not necessarily its precision. Common sources include a zero error on a measuring device, a poorly calibrated instrument, or a flaw in the experimental procedure that introduces a constant bias.
系统误差使所有读数都朝同一方向偏移——总是偏高或总是偏低。它们影响实验的准确度,但不一定影响精密度。常见的来源包括测量仪器的零点误差、未经良好校准的仪表,或引入恒定偏差的实验步骤缺陷。
Random errors cause readings to scatter unpredictably above and below the true value. They arise from factors that fluctuate between measurements, such as reaction time when using a stopwatch, parallax when reading a scale, or environmental changes. Random errors affect the precision of results but can be reduced by taking repeat readings and calculating a mean.
随机误差导致读数在真值上下不可预测地分散。它们来源于每次测量间波动的因素,例如使用秒表时的反应时间、读数时的视差,或环境变化。随机误差影响结果的精密度,但可以通过重复读数并计算平均值来减小。
To highlight the distinction, consider the following comparison:
为了突出区别,请看以下对比:
| Error type | Effect on results | Can be reduced by |
|---|---|---|
| Systematic | Constant bias; shifts all data points | Calibration, correcting for zero error, improving technique |
| Random | Scatter around the true value | Taking repeat measurements, using more precise instruments |
3. Precision and Accuracy | 精密度与准确度
Precision describes how closely a set of repeated measurements agree with one another. It reflects the size of the random error — a precise set of data has very little spread. Accuracy, on the other hand, tells us how close a measurement is to the accepted true value. An experiment can be precise without being accurate (if a systematic error is present) or accurate without being precise (if random errors are large).
精密度描述的是一组重复测量值之间相互吻合的程度。它反映了随机误差的大小——精密度高的数据离散程度很小。而准确度则告诉我们测量值距离公认的真值有多近。一个实验可能精密但不够准确(如果存在系统误差),或者准确但不够精密(如果随机误差较大)。
A classic analogy is shooting arrows at a target: precise results group tightly together (even if far from the bullseye), while accurate results hit the centre (even if scattered). In experimental work, it is important to assess both precision and accuracy when evaluating data.
一个经典的类比是向靶子射箭:精密度高的结果会紧密地聚集在一起(即使远离靶心),而准确度高的结果命中中心(即使有些分散)。在实验工作中,评估数据时兼顾精密度和准确度十分重要。
4. Absolute and Relative Uncertainty | 绝对不确定度与相对不确定度
Every measurement should be stated with its absolute uncertainty, which is the range within which the true value is expected to lie. For a single reading taken from an analogue scale, the absolute uncertainty is typically ± half the smallest scale division. For a digital instrument, it is at least ± the last displayed digit.
每个测量值都应附有其绝对不确定度,即真值预期所在的范围。对于从模拟刻度上读取的单个读数,绝对不确定度通常为最小刻度分度值的一半。对于数字仪器,至少是±最后一个显示位。
Relative uncertainty (or fractional uncertainty) expresses the size of the absolute uncertainty compared with the measurement itself. It is dimensionless:
相对不确定度(或分数不确定度)表示绝对不确定度相对于测量值本身的大小。它是无量纲的:
Relative uncertainty = Δx / x
Percentage uncertainty is the relative uncertainty multiplied by 100%:
百分不确定度是相对不确定度乘以 100%:
Percentage uncertainty = (Δx / x) × 100%
For example, a length measured as 12.0 ± 0.1 cm has an absolute uncertainty of 0.1 cm and a percentage uncertainty of (0.1/12.0) × 100% ≈ 0.83%.
例如,测量长度为 12.0 ± 0.1 cm,其绝对不确定度为 0.1 cm,百分不确定度为 (0.1/12.0) × 100% ≈ 0.83%。
5. Combining Uncertainties | 不确定度的合成
When quantities are used in calculations, their uncertainties must be combined to find the overall uncertainty in the final result. The rules depend on the mathematical operation.
当物理量参与计算时,必须将其不确定度合成,以得出最终结果的总不确定度。规则依数学运算而定。
For addition or subtraction, absolute uncertainties add:
对于加法或减法,绝对不确定度相加:
If Z = A + B or Z = A − B, ΔZ = ΔA + ΔB
For multiplication or division, relative (or percentage) uncertainties add:
对于乘法或除法,相对(或百分)不确定度相加:
If Z = A × B or Z = A / B, ΔZ/Z = ΔA/A + ΔB/B
For a power, the relative uncertainty is multiplied by the modulus of the exponent:
对于幂运算,相对不确定度乘以指数的绝对值:
If Z = An, ΔZ/Z = |n| × (ΔA/A)
These rules can be combined stepwise for more complex equations, such as Z = (A × B) / C, by treating the numerator and denominator separately. In practice, many AS experiments involve a mixture of operations, and you should apply the rules in the order of the calculation.
对于更复杂的方程,例如 Z = (A × B) / C,可以逐步组合这些规则,分别处理分子和分母。实际上,许多 AS 实验涉及混合运算,你需要按计算顺序应用这些规则。
6. Uncertainty in Repeated Measurements | 重复测量的不确定度
When several readings of the same quantity are taken, the best estimate of the true value is the arithmetic mean. The uncertainty can be estimated as half the range of the measurements:
当对同一物理量进行多次读数时,真值的最佳估计值是算术平均值。不确定度可以估计为测量值范围的一半:
Δx ≈ (xmax − xmin) / 2
For example, five timings of a pendulum swing give: 1.52 s, 1.48 s, 1.55 s, 1.50 s, 1.53 s. The mean is 1.516 s and the half-range is (1.55 − 1.48)/2 = 0.035 s. The result can be quoted as 1.52 ± 0.04 s (rounded appropriately).
例如,对单摆摆动进行五次计时得到:1.52 s, 1.48 s, 1.55 s, 1.50 s, 1.53 s。平均值为 1.516 s,半范围为 (1.55 − 1.48)/2 = 0.035 s。结果可表示为 1.52 ± 0.04 s(经过适当修约)。
A more rigorous method uses the standard deviation, but at AS level the half-range method is often sufficient, especially when the number of repeats is small. Always consider whether any obvious outliers should be excluded before calculating the range.
一种更严格的方法是使用标准偏差,但在 AS 阶段,半范围法通常已经足够,尤其当重复次数较少时。在计算范围之前,应始终考虑是否要剔除任何明显的异常值。
7. Graphing and Error Bars | 图表与误差棒
Plotting experimental data on a graph is a powerful way to visualise relationships and to determine quantities such as gradient and intercept. Each data point should include error bars that represent the absolute uncertainty in both the x- and y-variables, if both have significant uncertainties.
在图表上绘制实验数据是一种可视化关系、确定梯度和截距等量的有效方法。每个数据点都应包括误差棒,表示 x 和 y 变量各自的绝对不确定度,如果两者都有显著的不确定度的话。
A line of best fit should be drawn through the data points, passing through as many error bars as possible. To find the uncertainty in the gradient (or intercept), you can draw a “worst acceptable line” that still passes through most of the error bars, but has a distinctly different gradient. The uncertainty in the gradient is then:
应绘制一条通过数据点的最佳拟合线,尽可能穿过所有的误差棒。要找出梯度(或截距)的不确定度,可以画一条“最差可接受线”,该线仍穿过大多数误差棒,但梯度明显不同。那么梯度的不确定度为:
Δ(gradient) = |best gradient − worst gradient| / 2
This method gives a reasonable estimate of the uncertainty arising from the scatter in points. For experiments where the intercept is physically meaningful, a similar approach can be applied to the intercept.
这种方法能合理地估计由于数据点分散而产生的不确定度。对于截距具有物理意义的实验,可以对截距应用类似的方法。
8. Percentage Difference and Error Analysis | 百分差与误差分析
When an experimental result can be compared with a known or accepted value, the percentage difference is a useful measure of agreement:
当实验结果可以与已知或公认值进行比较时,百分差是衡量吻合程度的有用量度:
Percentage difference = ( |experimental value − accepted value| / accepted value ) × 100%
If the percentage difference is smaller than the estimated percentage uncertainty in the experiment, the result is consistent with the accepted value within experimental error. If the difference is much larger, it suggests the presence of unaccounted systematic errors or mistakes in the procedure.
如果百分差小于实验估计的百分不确定度,则结果在实验误差范围内与公认值一致。如果差值大得多,则表明存在未考虑的系统误差或实验步骤中的错误。
Error analysis therefore not only quantifies uncertainty but also helps to identify limitations and to suggest improvements for future investigations.
因此,误差分析不仅能量化不确定度,还能帮助识别局限性,并为未来的探究提出改进建议。
9. Significant Figures and Rounding | 有效数字与修约
Recorded measurements should reflect the precision of the instrument. As a rule, the last significant figure in a measurement is the first one that is uncertain. When calculating with uncertainties, the absolute uncertainty is normally quoted to one significant figure, and the measured value is rounded to the same decimal place as the uncertainty.
记录的测量值应反映仪器的精密度。通常,测量值的最后一位有效数字是第一个不确定的数字。在用不确定度进行计算时,绝对不确定度通常保留一位有效数字,测量值修约到与不确定度相同的小数位。
For instance, if a computed resistance is 4.567 Ω with an absolute uncertainty of 0.12 Ω, the result should be quoted as 4.57 ± 0.12 Ω (uncertainty to two significant figures when the leading digit is small is acceptable, but check your exam board’s convention). The number of significant figures in the final answer must match the least precise measurement used in the calculation.
例如,如果计算出的电阻为 4.567 Ω,绝对不确定度为 0.12 Ω,则结果应表示为 4.57 ± 0.12 Ω(当首位数字较小时,不确定度保留两位有效数字是可以接受的,但要核对考试局的规定)。最终答案的有效数字位数必须与计算中所用的最不精确的测量值相匹配。
10. Practical Examples and Experimental Tips | 实例与实验技巧
Consider measuring the diameter of a wire with a micrometer. A zero error is common: without an object, the reading may show +0.03 mm. Each measurement must be corrected by subtracting this systematic offset. Repeating the measurement at different points along the wire reduces the effect of random variations in thickness.
考虑用千分尺测量金属丝的直径。零点误差很常见:没有物体时,读数可能显示 +0.03 mm。每次测量都必须减去这个系统偏移量来进行校正。在金属丝的不同位置重复测量则可减小厚度随机变化的影响。
When using a stopwatch to measure a period, human reaction time introduces random errors. Timing multiple oscillations (e.g. 20 swings instead of one) reduces the relative impact of this uncertainty. For instruments like a voltmeter or ammeter, ensure the correct range is chosen to maximise resolution and minimise reading uncertainty.
使用秒表测量周期时,人的反应时间会引入随机误差。通过计时多次振荡(例如 20 次摆动而不是一次),可以减小这一不确定度的相对影响。对于电压表或电流表等仪表,应选择合适的量程以最大化分辨率并最小化读数不确定度。
Always record data in a carefully labelled table with units and uncertainties. Check for anomalous points before drawing a graph, and consider whether a straight line through the origin is physically expected — forcing a line through the origin can introduce a systematic error if the relationship does not truly pass through zero.
始终将数据记录在清晰标注单位和不确定度的表格中。在绘制图表前检查异常点,并考虑物理上是否预期一条通过原点的直线——如果关系并非真的过零点,强迫直线通过原点会引入系统误差。
11. Summary and Advice for Investigations | 总结与探究建议
Mastering measurements and their errors is a foundation of experimental physics. By recognising the types of errors, correctly combining uncertainties, and presenting results with appropriate precision, you can produce robust and defensible conclusions. In assessed practical work, you may be asked to identify the largest source of uncertainty and to suggest improvements — a skill directly linked to these concepts.
掌握测量及其误差是实验物理的基础。通过识别误差类型、正确合成不确定度,并以适当的精密度呈现结果,你能够得出有力、可信的结论。在考核的实验工作中,你可能需要指出最大的不确定度来源并提出改进建议——这一能力直接与这些概念相关。
When planning an investigation, think carefully about how to minimise both systematic and random errors from the start. Choose instruments with a suitable resolution, take repeat readings, and always compare your final result with accepted values if available, using percentage difference to strengthen your evaluation.
在规划探究时,从一开始就要认真思考如何最大限度地减小系统误差和随机误差。选择分辨率合适的仪器,进行重复读数,并始终将最终结果与公认值(如有)进行比较,利用百分差来加强你的评估。
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