ISA CONTROLLED ASSESSMENT THERMISTOR ANSWERS
ISA CONTROLLED ASSESSMENT- Thermistors SECTION 2 ( Part 1 )
Answers
1. Yes the results support my hypothesis, which was, as the temperature increases the resistances decreases. For example the resistance at 20OC was ______ and at 50OC it was ______ which was much lower.
Also the graph shows a negative correlation with a curve of best fit. This shows the relationship is not Ohmic as it is not a straight line.
2. EITHER;
Yes I had an anomalous result, it was at a temperature of __OC. It was higher/lower (select the correct one) than it should have been. If the resistance at this temperature had been on my line of best fit the value should have been _____ Ohms(read this off your graph).
No I did not have any anomalous results. I know this because the resistance values for each repeated experiment at each temperature were similar to each other. Also all of my plotted data points we on the curve of best fit.
3. Repeat readings help to see if my data is more reliable, as reliable results would be very similar each time the resistance was measured at each temperature. This then helps with the accuracy because if the repeated readings were not similar then the odd one out would be an outlier. I would then either repeat this experiment and substitute the new resistance value for the outlier OR simply leave out the outlier value when calculating the mean average. To calculate the mean average I would add up the 3 resistance values from each temperature and then divide by 3.
4. The temperature and the range was from 20OC to 60OC (select the temperature range you used)
Yes this was a suitable range as the graph showed a clear pattern/trend and this fitted with my hypothesis. An example to show this is that the resistance at 20OC was _______ and by raising the temperature to 30OC the resistance dropped to _______ Ohms and at 60OC it was a low as ______ Ohms.
5. Other people my have different results because;
a. They used different temperatures
b. Used a different
Answers
1. Yes the results support my hypothesis, which was, as the temperature increases the resistances decreases. For example the resistance at 20OC was ______ and at 50OC it was ______ which was much lower.
Also the graph shows a negative correlation with a curve of best fit. This shows the relationship is not Ohmic as it is not a straight line.
2. EITHER;
Yes I had an anomalous result, it was at a temperature of __OC. It was higher/lower (select the correct one) than it should have been. If the resistance at this temperature had been on my line of best fit the value should have been _____ Ohms(read this off your graph).
No I did not have any anomalous results. I know this because the resistance values for each repeated experiment at each temperature were similar to each other. Also all of my plotted data points we on the curve of best fit.
3. Repeat readings help to see if my data is more reliable, as reliable results would be very similar each time the resistance was measured at each temperature. This then helps with the accuracy because if the repeated readings were not similar then the odd one out would be an outlier. I would then either repeat this experiment and substitute the new resistance value for the outlier OR simply leave out the outlier value when calculating the mean average. To calculate the mean average I would add up the 3 resistance values from each temperature and then divide by 3.
4. The temperature and the range was from 20OC to 60OC (select the temperature range you used)
Yes this was a suitable range as the graph showed a clear pattern/trend and this fitted with my hypothesis. An example to show this is that the resistance at 20OC was _______ and by raising the temperature to 30OC the resistance dropped to _______ Ohms and at 60OC it was a low as ______ Ohms.
5. Other people my have different results because;
a. They used different temperatures
b. Used a different