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Q2.8(c):
Answer the following : (c) The mean diameter of a thin brass rod is to be measured by vernier callipers. Why is a set of 100 measurements of the diameter expected to yield a more reliable estimate than a set of 5 measurements only ?

Solution :

Theoretical Foundation: Statistical Uncertainty and Mean Value

The precision of a physical measurement is governed by the principles of error analysis in statistics. When measuring a physical quantity $x$ (such as the diameter of a brass rod) using an instrument like a vernier caliper, the measurement is subject to random errors. These errors arise from unpredictable fluctuations in experimental conditions, human observation variability, and instrument limitations.

Step 1: The Principle of Random Error Reduction

According to the theory of errors, if we take $N$ independent measurements of a quantity, the standard deviation of the mean (also known as the standard error) is given by the relation:

$\sigma_m = \frac{\sigma}{\sqrt{N}}$

[Per the Central Limit Theorem and the law of large numbers in statistics].

Where:

  • $\sigma$ is the standard deviation of a single measurement.
  • $N$ is the number of observations.
  • $\sigma_m$ is the uncertainty in the mean value.

Step 2: Comparative Analysis of Sample Sizes

We analyze the impact of increasing the sample size from $N = 5$ to $N = 100$:

Sample Size ($N$) Relative Uncertainty Factor ($\frac{1}{\sqrt{N}}$) Calculated Magnitude
5 $\frac{1}{\sqrt{5}} \approx 0.447$ High uncertainty
100 $\frac{1}{\sqrt{100}} = 0.100$ Low uncertainty

Step 3: Logical Deduction

As $N$ increases, the denominator $\sqrt{N}$ increases, which forces the value of the standard error $\sigma_m$ to decrease. By increasing the number of measurements from $5$ to $100$, the random errors associated with individual measurements tend to cancel each other out more effectively. Specifically, the uncertainty in the mean for 100 measurements is approximately $4.47$ times smaller than that of 5 measurements ($0.447 / 0.100$).

Number of Measurements (N) Error (σ_m) N=5 N=100

Conclusion

The reliability of the estimate is inversely proportional to the standard error of the mean. A larger sample size significantly reduces the weight of any single anomalous reading and ensures that the mean value converges toward the true value of the diameter, thereby increasing the precision of the result.

Final Solution: Increasing the number of measurements to 100 reduces the statistical random error by a factor of $\sqrt{100/5} \approx 4.47$, resulting in a significantly more precise and reliable mean value compared to a set of 5 measurements.


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