



In wire-bound standard resistors, it is crucial to have a stable resistivity with changes in temperature to ensure accurate and consistent resistance values. This implies that the ideal resistivity (\(\rho\)) vs. temperature (T) curve should show minimal variation in resistivity when temperature changes. The curve that best fits this requirement would be one that is relatively constant, i.e., a horizontal line, indicating resistivity remains the same despite temperature fluctuations.
Looking at the options, the curve in
represents a situation where resistivity does not change noticeably with temperature. Therefore, this is the most suitable choice for wire-bound standard resistors, as it suggests a resistivity that is largely independent of temperature changes, maintaining reliability and precision in resistance values.
Concept:
For wire-bound standard resistors, the material used should have a very small temperature coefficient of resistivity — meaning its resistivity should remain almost constant with change in temperature.
Explanation:
If resistivity \( \rho \) changes significantly with temperature \( T \), the resistance of the wire will also vary, making the resistor unsuitable as a standard (since it won’t give a constant resistance value).
Thus, the most suitable \( \rho \)-vs-\( T \) curve is the one where \( \rho \) remains nearly constant over a wide range of temperature (a nearly horizontal line).
Hence, the correct option is:
Option 1 — the graph showing almost constant resistivity with temperature.
For a statistical data \( x_1, x_2, \dots, x_{10} \) of 10 values, a student obtained the mean as 5.5 and \[ \sum_{i=1}^{10} x_i^2 = 371. \] He later found that he had noted two values in the data incorrectly as 4 and 5, instead of the correct values 6 and 8, respectively.
The variance of the corrected data is: