Q. What would be the reading of voltmeter as shown in below figure. The voltmeter has a 0-1 V scale and is a 20000 Ω/V meter

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Q. Figure shows a Wheatstone bridge with RTD to one arm. If resistance of RTD = 1020 Ω, the voltage V0 is

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Q. The ac bridge in figure is balanced. Z1 = 100∠30°, Z2 = 150∠0°, Z3 = 250∠ - 40° Then Z4 =

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Q. In bridge circuit of figure, equivalent resistance between A and B is

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Q. Which of the following closely represents the resistance-temperature characteristics of thermistor?

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Q. In figure the output V0 is

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Q. If n measurements of a quantity are made, the arithmetic mean is

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Q. The standard deviation σ in terms of n observations having deviations from mean dm can be written as

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Q. In figure, C0 is distributed capacitance and C is tuning capacitor. If C = C1 for fundamental frequency and C = C2 for second harmonic, then C0 =

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Q. If M is mutual inductance between fixed and moving coils and θ is deflection of dynamometer instrument, then

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Q. If σ is standard deviation, variation is

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Q. An average responding voltmeter using full wave rectifier has been calibrated to read 1 V for 1 V rms sinusoidal input. For 1 V peak to peak square wave input, the meter reading will be

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Q. For critical damping, the resistance in D'Arsonval galvanometer circuit should be equal to

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Q. In figure, the reading of wattmeter will be proportional

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Q. Figure shows the equivalent circuit of resistor. The resistor is non-inductive when

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Q. The damping ratio, in D'Arsonval galvanometer is equal to

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Q. If φsh is flux of shunt magnet, φse is flux of series magnet, ish is eddy current due to φse, the torque in an induction wattmeter is proportional to

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Q. If Eb is the potential of accelerating anode, the energy of electrons as they emerge from electron gun is proportional to

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Q. The circuit of figure is used to measure the value Rx. Ammeter resistance Ra = 0.1 Ω voltmeter resistance Rv = 5000 Ω. It Rx1 and Rx2, are the measured values of Rx with switch in position 1 and 2, the mean of Rx1, and Rx2, is

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Q. If d1, d2, ..., dn are n individual deviations, the standard deviation is

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