Q.Time for 20 oscillations of a pendulum is measured as t1=39.6 s; t2=39.9 s; t3=39.5 s. What is the precision in the measurements? What is the accuracy of the measurement?
🔒You're viewing a preview — the full solution, concept, methods & PYQ mapping are locked.
🔒 Start your 14-day free trial to unlock the full solution →Concept understanding — Least Count Precision
The Problem: How Fine Can You Measure?
Imagine you have a standard 15 cm ruler. You look at the markings — there's a line for every centimetre, and between those, smaller lines for every millimetre. Now try to measure the thickness of a single sheet of paper. You place it against the ruler. Does it line up exactly with a millimetre mark? Almost certainly not. It falls somewhere between two millimetre lines.
What do you report? You can't say "2.3 mm" because your ruler doesn't show tenths of a millimetre. The best you can honestly say is "about 2 mm" or "between 2 and 3 mm". That limitation — the smallest change in the quantity that your instrument can reliably detect and display — is its least count.
Least count is not about how good you are at estimating. It is a property of the instrument itself. Even a perfect observer cannot extract more detail than the instrument's scale allows.
The Precise Definition
Least count is the smallest value of a physical quantity that can be measured accurately using a given instrument. It is the resolution of the measuring device.
For a simple scale (like a ruler, voltmeter, or thermometer) with equally spaced markings, the least count is:
Least Count=Number of divisions on the vernier (or sub-scale)Value of one main scale division
For instruments without a vernier (like a plain ruler), the least count is simply the value of the smallest division on the scale.
Examples you already know:
| Instrument | Smallest Division | Least Count |
|---|---|---|
| Metre ruler | 1 mm | 1 mm |
| Stopwatch (digital) | 0.01 s | 0.01 s |
| Laboratory thermometer | 1 °C | 1 °C |
| Screw gauge | 0.01 mm | 0.01 mm |
Why This Matters in Exams
When you record a measurement, you must write it to the correct number of decimal places — the least count determines that. If a ruler has a least count of 1 mm, you cannot report a length as 12.35 cm. The correct recording is 12.3 cm or 12.4 cm (the last digit is uncertain, but it must be at the place of the least count).
A common mistake: writing 2.50 cm when your ruler only shows millimetres. That implies you measured to 0.01 cm (0.1 mm), which you didn't. Write 2.5 cm — the last digit is at the tenths place, matching your least count of 0.1 cm.
The Core Intuition …
Why this formula?
Least Count & Precision: Why the Formula Holds
Let's build this from first principles — understanding why the least count formula works, not just memorizing it.
1. What is Least Count?
Least Count (LC) is the smallest measurement an instrument can reliably indicate.
Think of a ruler with 1 cm marks but no mm marks — you can't measure 0.5 cm precisely. The least count is 1 cm.
2. The Core Formula
For a scale-type instrument (ruler, vernier caliper, micrometer):
Least Count=Number of divisions on the vernier/circular scaleValue of 1 main scale division
Why this formula?
Reasoning step-by-step:
- The main scale has fixed divisions (e.g., 1 mm each).
- The vernier scale has N divisions that exactly span (N−1) main scale divisions.
- So, 1 vernier division = NN−1 main scale divisions.
The difference between 1 main scale division and 1 vernier division is:
LC=1 MSD−1 VSD=1−NN−1=N1 MSD
That's exactly the formula above.
3. Example: Vernier Caliper
- Main scale: 1 mm per division
- Vernier scale: 10 divisions covering 9 mm
Then:
LC=101 mm=0.1 mm
Why 0.1 mm? Because the 10th vernier mark aligns with the 9th main scale mark — the smallest shift you can detect is 0.1 mm.
4. For Circular Scales (Micrometer Screw Gauge)
Same logic, different geometry:
LC=Number of circular scale divisionsPitch
Pitch = distance moved by spindle in one full rotation.
Why? One full rotation moves the spindle by the pitch. If the circular scale has N divisions, each division corresponds to Npitch linear movement.
5. Precision vs. Least Count
Precision is half the least count (or sometimes ± LC/2).
Precision=±2LC
Why half? …
Each reading (39.6 s, 39.9 s, 39.5 s) is recorded to 0.1 s — the stopwatch's least count — so the precision is ±0.1 s, regardless of how the readings scatter. …
The precision of these readings is set by the stopwatch's least count, ±0.1 s. Since no independently known true value of the period is given, the best available estimate of accuracy is the mean deviation of the three readings from their own mean, which works out to ≈±0.2 s.
Precision vs. accuracy
Precision tells you how finely an instrument can resolve a measurement — it is fixed by the instrument's least count, independent of whether the reading is close to the truth. Accuracy tells you how close a measured value is to the true (accepted) value — and that requires knowing the true value to compare against. When no independently known true value is available, the mean of several readings is taken as the best available estimate, and the spread of the individual readings about that mean gives a practical estimate of the accuracy.
The data
t1=39.6 s,t2=39.9 s,t3=39.5 s
Each reading is recorded to one decimal place, so the stopwatch's least count is 0.1 s.
Precision
Since every reading is limited by the same least count, the precision of the measurement is ±0.1 s — that is the finest interval the instrument can distinguish, regardless of how the three readings happen to scatter.
The mean of the three readings is:
tˉ=339.6+39.9+39.5=3119.0≈39.7 s (rounded to the instrument’s resolution)
This is our best estimate of the time for 20 oscillations.
Accuracy
No independently known true/accepted value of the period is given in this problem, so we cannot compare against one directly. In this situation, the mean of the readings, tˉ≈39.7 s, is taken as the best available estimate of the true value, and the accuracy is estimated from how far the individual readings deviate from it: …
Concept: Precision vs. Accuracy in Measurements
Precision is set by the resolution (least count) of the measuring instrument — it tells you how finely repeated readings can be told apart, regardless of how they scatter. Accuracy tells you how close the measurement is to the true value; without an independently known true value, the best available estimate of accuracy is how far the individual readings deviate from their own mean.
Method: Least Count + Mean Deviation Method
Steps:
Step 1: Identify the instrument's resolution (this IS the precision)
Each reading (39.6 s, 39.9 s, 39.5 s) is recorded to one decimal place, so the stopwatch's least count is 0.1 s.
Precision=±0.1 s
Step 2: Find the mean (average) time
tˉ=3t1+t2+t3=339.6+39.9+39.5=3119.0=39.67 s≈39.7 s (to the instrument’s resolution)
Step 3: Find the deviation of each reading from the mean
| Measurement | Value (s) | Deviation = ∣ti−tˉ∣ |
|---|---|---|
| t1 | 39.6 | $ |
| t2 | 39.9 | $ |
| t3 | 39.5 | $ |
Step 4: Average the deviations — this gives the accuracy …
Common Mistakes & How to Avoid Them
This question tests your understanding of precision vs. accuracy — two terms students often confuse. Let's break down the common errors.
✗ Mistake 1: Confusing Precision with Accuracy
What students do wrong:
They say "precision = closeness to true value" or "accuracy = how consistent the readings are." This is backwards.
Why it's wrong:
- Precision = how close the measurements are to each other (repeatability), and in practice is set by the resolution (least count) of the measuring instrument.
- Accuracy = how close the measurement is to the true value (correctness).
How to avoid:
Remember the mnemonic:
- Precision → Proximity of readings to Peers (each other) → fixed by the instrument's least count.
- Accuracy → Agreement with the Actual (true) value.
✗ Mistake 2: Inventing a percentage formula for precision instead of using the instrument's least count
What students do wrong:
They try to compute precision as 2×MeanRange×100% or some other relative/percentage figure.
Why it's wrong:
Precision in a repeated-reading experiment like this one is simply the resolution (least count) of the measuring instrument — here, the stopwatch reads to 0.1 s, so the precision is ±0.1 s. It does not depend on how the three readings happen to scatter, and it is not normally expressed as a percentage in this kind of problem.
How to avoid:
Check how many decimal places every reading is recorded to — that IS the instrument's least count, and hence the precision.
✗ Mistake 3: Claiming Accuracy Cannot Be Found at All Without a True Value
What students do wrong:
They calculate a raw range or standard deviation and call it "accuracy" without a clear reference point, or they say accuracy cannot be found at all because no true value is stated.
Why it's wrong:
Accuracy strictly requires a reference (true/accepted value). This problem does not state an independently known true period. The standard way to proceed — and what full marks expect here — is to take the mean of the readings as the best available estimate of the true value, and report the mean deviation of the individual readings from that mean as the accuracy. Leaving accuracy completely unanswered loses marks that are available for this step.
How to avoid:
- If a true value is given: Accuracy=(1−ttrue∣tˉ−ttrue∣)×100%
- If not given (as here): use the mean as the reference and report the mean deviation of the readings from it.
--- …
- TG EAPCET 2026Set eng-2026-05-09-AN1 markMCQQ.If a parallel beam of light of wavelength 500 nm is incident on a convex lens of focal length 20 cm having a circular aperture of diameter 5 cm, then the radius of the central bright diffraction spot formed on the focal plane of the lens is nearly (in μm) (A) 1.83 (B) 0.61 (C) 1.22 (D) 2.44
›Reveal solutionSolution
The central bright spot is the Airy disk formed by Fraunhofer diffraction at the lens aperture; its radius in the focal plane is given by 1.22λf/D, yielding about 2.44 μm, so the correct option is (D).
The key concept here is Fraunhofer diffraction through a circular aperture. When a plane wave passes through a circular opening (here, the lens itself acts as the aperture), the diffraction pattern on a screen at the focal plane consists of a central bright disk (the Airy disk) surrounded by concentric dark and bright rings. The radius of the first dark ring defines the size of the central bright spot.
Why this approach works:
The lens focuses the parallel beam to a point in its focal plane, but diffraction at the lens aperture spreads the light into a pattern. The angular radius of the first minimum is θ=1.22λ/D, where D is the aperture diameter. Since the focal plane is at distance f from the lens, the linear radius is r=fθ=1.22λf/D. This is the standard result for the Airy disk radius.
Step-by-step solution:
-
Identify the given quantities
- Wavelength: λ=500 nm=500×10−9 m
- Focal length: f=20 cm=0.20 m
- Aperture diameter: D=5 cm=0.05 m
-
Recall the formula for the radius of the central bright spot
For a circular aperture, the first minimum occurs at an angle θ satisfying
sinθ≈θ=1.22Dλ
(small-angle approximation is valid here because λ≪D).
The linear radius on the focal plane is
r=fθ=1.22Dλf
- Plug in the numbers
r=1.22×0.05 m(500×10−9) m×0.20 m
Simplify step by step:
0.05500×10−9×0.20=0.05500×10−9×0.20
First, 0.20/0.05=4, so
-
- TG EAPCET 2026Set eng-2026-05-11-FN1 markMCQQ.If the focal lengths of the objective and eyepiece of a giant refracting telescope are 20 m and 1 cm respectively, then the angular magnification of the telescope is (A) 5 (B) 500 (C) 20 (D) 2000
›Reveal solutionSolution
The angular magnification of a refracting telescope in normal adjustment is the ratio of the objective focal length to the eyepiece focal length. Here, fo=20 m and fe=1 cm, so M=2000.
The key idea is simple: a telescope makes distant objects appear larger by bending light through two lenses. The objective lens (big, long focal length) collects light and forms a real, inverted image at its focal plane. The eyepiece (short focal length) then acts like a magnifying glass to view that image. The angular magnification tells you how many times larger the angle subtended at the eye becomes compared to looking directly.
For a telescope in normal adjustment — where the final image is at infinity (relaxed eye viewing) — the angular magnification M is given by the ratio of the focal lengths:
M=fefo
This formula is derived from geometry: the objective creates an image that subtends an angle θi≈h/fo (where h is the image height), and the eyepiece, when the image is placed at its focal point, presents that same height at an angle θe≈h/fe to the eye. The ratio θe/θi gives fo/fe.
Now let’s apply it step by step.
-
Identify the focal lengths. The objective focal length is fo=20 m. The eyepiece focal length is fe=1 cm.
-
Convert to consistent units. Since the formula is a ratio, units must match. Convert everything to metres or centimetres — either works. Let’s use metres: fe=1 cm=0.01 m.
-
Plug into the magnification formula.
M=fefo=0.01 m20 m=2000
The units cancel, leaving a pure number. …
-
- TG EAPCET 2025Set ap-2025-04-29-AN1 markMCQQ.Which of the following statements is not correct regarding significant figures? (A) All the zeroes between two non-zero digits are significant, no matter where the decimal point is (B) The terminal zero(s) in a number without a decimal point are significant (C) The terminal zero(s) in a number with a decimal point are significant (D) To remove ambiguities in determining the number of significant figures, the best way is to report the measurement in the powers of 10
›Reveal solutionSolution
The statement that terminal zeros in a number without a decimal point are always significant is incorrect. Such zeros are ambiguous and may or may not be significant. The incorrect statement is (B).
In scientific measurements, significant figures represent the precision of a measurement. They include all the digits that are known with certainty plus one estimated digit. Understanding the rules for significant figures is crucial for correctly reporting and interpreting experimental data, ensuring that the precision of a calculation reflects the precision of the input measurements.
Let's analyze each statement regarding significant figures:
-
Analyze statement (A): "All the zeroes between two non-zero digits are significant, no matter where the decimal point is"
This statement describes "sandwich zeros" or "captive zeros". These zeros are always considered significant because they are part of the measured value and contribute to its precision.
- Example 1: In 2005 m, the two zeros between 2 and 5 are significant. The number has 4 significant figures.
- Example 2: In 1.08 g, the zero between 1 and 8 is significant. The number has 3 significant figures. This statement is correct.
-
Analyze statement (B): "The terminal zero(s) in a number without a decimal point are significant"
This statement refers to trailing zeros in whole numbers. This is a common point of ambiguity in significant figures. When a number like 100 kg is written, it's unclear whether the zeros are significant (meaning the measurement is precise to the nearest unit) or if they are just placeholders for the magnitude (meaning the measurement is only precise to the nearest hundred).
- If 100 kg was measured to the nearest kilogram, it would have 3 significant figures.
- If 100 kg was measured to the nearest ten kilograms, it would have 2 significant figures (1.0×102 kg).
- If 100 kg was measured to the nearest hundred kilograms, it would have 1 significant figure (1×102 kg). Because these zeros may or may not be significant depending on the precision of the measurement, stating that they "are significant" (implying always significant) is incorrect. This ambiguity is precisely why scientific notation is preferred for such numbers. This statement is not correct.
-
Analyze statement (C): "The terminal zero(s) in a number with a decimal point are significant"
This statement refers to trailing zeros when a decimal point is present. When a decimal point is explicitly written, any trailing zeros are considered significant. This is because they indicate that the measurement was made to that level of precision. …
-
- TG EAPCET 2023Set eng-2023-05-14-FN1 markMCQQ.The number of significant figures in the measurement of a length 0.079000 m is (A) 7 (B) 2 (C) 5 (D) 4
›Reveal solutionSolution
The key idea is that trailing zeros after a decimal point are significant, so the measurement 0.079000 m has 5 significant figures. The correct option is (C).
The concept here is significant figures — the digits in a number that carry meaningful information about its precision. The trick is that zeros can be tricky: leading zeros (like the ones before the 7) are never significant because they only set the decimal place, but trailing zeros after a decimal point are significant because they indicate the measurement was made to that level of precision. In 0.079000, the zeros after the 9 tell us the length was measured to the nearest millionth of a meter, not just to the nearest thousandth.
Let’s work through it step by step:
-
Identify all non-zero digits.
The digits 7 and 9 are non-zero, so they are always significant. That gives us 2 significant figures so far.
-
Check the zeros between non-zero digits.
There are no zeros between 7 and 9, so nothing to add here.
-
Examine the leading zeros.
The zeros before the 7 (the one immediately after the decimal and the one before it? Actually, 0.079000 has one leading zero: the first zero after the decimal point. But wait — the number is 0.079000, so the digits are: 0 . 0 7 9 0 0 0. The first zero (the one before the decimal) is not a significant figure; it’s just a placeholder. The zero right after the decimal is also a leading zero — it only tells us the number is less than one-tenth. So these leading zeros are not significant.
-
Examine the trailing zeros after the decimal. …
-
- TG EAPCET 2023Set eng-2023-05-14-FN1 markMCQQ.The dimensions of four wires of the same material are given below. The increase in length is maximum in the wire of (A) Length 100 cm, Diameter 1 mm (B) Length 200 cm, Diameter 2 mm (C) Length 300 cm, Diameter 3 mm (D) Length 50 cm, Diameter 0.5 mm
›Reveal solutionSolution
Since ΔL∝L/d2 for the same material and load, compute L/d2 for each wire: 100,50,33.3,200. The short, thin wire (50 cm, 0.5 mm) wins — option (D).
The concept first
Hooke's law in the language of materials is defined by Young's modulus:
Y=strainstress=ΔL/LF/A⟹ΔL=AYFL.
Read the formula physically:
- Longer wire ⇒ more elongation, because the same fractional stretch acts on a greater original length.
- Thicker wire ⇒ less elongation, because the load is shared over a bigger cross-section (lower stress).
- Y is a property of the material only, so with all four wires of the same material Y cancels out of the comparison. The load F is the same for all (that is implicit in the comparison).
For a circular wire, A=4πd2, so
ΔL=(4πd2)YFL=πY4F⋅d2L⟹ΔL∝d2L
Notice the square on the diameter — that is what makes thinness so powerful. Halving the diameter quadruples the stretch, whereas doubling the length only doubles it. Many students rank by length alone and pick (C); the d2 is the trap.
Step-by-step
1. Set up the comparison quantity. Use consistent units within the ratio (cm and mm are fine, since we only compare the same combination across the four wires):
k=d2L.
2. Evaluate for each wire.
| Wire | L (cm) | d (mm) | d2 | k=L/d2 |
|---|---|---|---|---| …
- TG EAPCET 2022Set eng-2022-07-19-FN1 markMCQQ.A physical quantity S is related to four observables a, b, c, d as S=c3d4ab. If the percentage errors of measurement in a, b, c, d are 2%, 1%, 1% and 1% respectively, then percentage error in the quantity S is (A) 6% (B) 8% (C) 9% (D) 10%
›Reveal solutionSolution
The percentage error in a product/quotient of powers is the sum of each individual percentage error multiplied by the absolute value of its exponent. For S=c3d4ab, the result is 9%.
The key idea is that when a physical quantity is expressed as a product of powers of measured variables, the relative (or percentage) error in the result is the sum of the relative errors of each variable, each weighted by the magnitude of its exponent. This comes directly from the rules of error propagation using differentials.
For a relation S=k⋅apbqcrds (where k is a constant), the fractional error is:
SΔS=∣p∣aΔa+∣q∣bΔb+∣r∣cΔc+∣s∣dΔd
The absolute values are crucial — errors always add, never cancel, because each measurement's uncertainty contributes positively to the total uncertainty.
Let's apply this step by step.
-
Rewrite the given expression in power form.
S=c3d4ab=c3d4a1/2b1/2=a1/2b1/2c−3d−4
The exponents are: a has +21, b has +21, c has −3, d has −4.
-
Identify the percentage errors given.
aΔa×100=2%, bΔb×100=1%, cΔc×100=1%, dΔd×100=1%.
-
Apply the error propagation formula.
The percentage error in S is:
SΔS×100=21⋅2%+21⋅1%+∣−3∣⋅1%+∣−4∣⋅1%
-
Compute each term.
- From a: 21×2%=1%
- From b: 21×1%=0.5%
- From c: 3×1%=3%
- From d: 4×1%=4%
-
Sum them up.
1%+0.5%+3%+4%=8.5%
Watch outA common mistake is to forget the absolute value of the exponent. If you treat c−3 as having exponent −3 and then add −3×1%=−3%, you'd get a wrong total. Errors always add in magnitude — the minus sign only tells you the direction of the effect, not that it reduces uncertainty.
Now, 8.5% is not among the given options. This means we need to check the standard convention used in such problems. In many exam contexts (especially in error analysis), the exponent on d is taken as 4 (not −4), and the percentage error contribution is 4×1%=4%. But wait — we already did that. The issue is that the problem likely expects the exponents to be treated as positive magnitudes only, and the sum 1+0.5+3+4=8.5 still doesn't match any option.
Let's re-examine the expression: S=c3d4ab. The square root applies to the product ab, so ab=(ab)1/2=a1/2b1/2. That's correct.
Perhaps the intended interpretation is that the percentage errors are given as 2%, 1%, 1%, 1% and the formula for error uses the absolute values of the powers as coefficients. Then:
- a: exponent 21, contribution 21×2=1
- b: exponent 21, contribution 21×1=0.5 …
-
🎓Unlock everything free for 14 days
- ✓Full step-by-step solutions
- ✓Concept-first explanations
- ✓Methods, shortcuts & mistakes
- ✓PYQ mapping + timed mock tests
Full access for 14 days. No credit card required.