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Graph, average to resistance
table ohms to the sign mark
Change size of wire, temp circuit only turned on when taking measurments. temp, size, type
Change method to include measruing 3 times
Control variables. HOW WILL THEY BE CONTROLED
Conclusion: linear relationship between length and resistance where they are proportional
disscusion; Talk about range of variables, why need to control var, why use accuracy imporving techniques. link betweenfinding and relevant principle of physics. R=pL/a
Variables are controlled so that the relation between the length and resistance were accurate. By not having control variables the results will be unreliable. The temperature of the wire has to be controlled so that it doesn't affect the results. As the temperature in the circuit increases, so does the resistance. Therefore, the temperature has to be controlled so that the results were accurate. The size of the wire also is a control variable since it also can affect the resistance if it's not controlled. The formula R=pL/a shows that by increasing "a" which is the area the R will decrease and vice versa. This was controlled in the investigation by using the same wire throughout the whole investigation as to not change the size. The type of wire is controlled by using the same wire. Different material of wires has different resistivity or p in the formual R=pL/a. By changing the p, the resistance also changes as so it has to be controlled to keep resistance proportional to length.
I recorded each length 3 times to increase the accuracy of the investigation. By doing this, I can identify any outliers and exclude them from the averaging so that they didn't have an impact on the result.
The R=pL/a physics theory is relevant to this investigation. This is because the resistance is proportionate to the length. the data from the investigation has the equation of which is accurate and is supported by this theory. The resistivity and area are part of the control variables and so that leaves resistance and length which are the dependant and the independent variable.
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