The Bipolar Junction Transistor (BTJ) characteristic Curve experiment source of error

Expert Solution

To find out the sources of error in BJT characteristics curve experiment, we need to first note down the equipment required for this experiment.

We need following equipment:

1) Transistor (NPN) [you can use PNP configuration as well].

2) Resistors

3) Variable power source

4) Hookup wires

5) Bread board

6) Digital Multi-meter

So to find out the source of error in this experiment, we need to understand that there are experimental errors which are inherent in the measurement process and cannot be eliminated by repeating the experiment so many times. This experimental errors are of two types: systematic error and random errors.

For example:

In this experiment, we have used resistors and resistors have their tolerance values ranging from 0.05 to 20%. So, more the tolerance more will be the error in your resistance. This could be source of error in this experiment and this error comes under systematic errors.

In this experiment, we are using digital multi-meter, and this could have a zero error (or offset error) in which the instrument does not read zero when the quantity to be measured is zero. This could be source of error in this experiment and this error also comes under systematic errors.

In this experiment, we are using variable power supply and the accuracy of the component decreases due to its regular multiple time usage. And this might give you wrong results. This could be source of error in this experiment and this error also comes under systematic errors.

In this experiment, we are using hookup wires (or jumper cables), these cables have their own resistance (very little ) and could lead to fluctuation of measured value. Although this could be the least source of error in the experiment and this comes under random errors.

In this experiment, you are going to read the values and you might end up reading wrong values. This could screw up your whole experiment. This could be source of error in this experiment and this error also comes under random errors (observational random errors).

So these are the few sources of errors in this experiment.

genius_generous answered 1 year ago

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