Physics lab work - calculating % errors

AI Thread Summary
To calculate the percent error from the provided readings, three methods were considered: standard deviation, the range divided by the average, and the range divided by the number of values. The discussion suggests using the Standard Error in the Mean for a more accurate representation of error, calculated as the measurement error divided by the square root of the number of samples. Additionally, since the smallest measurement unit is 1mm, rounding the readings to the nearest mm is advisable for consistency. Ultimately, the focus is on determining the most appropriate method for calculating error in the context of the experiment.
Kaldanis
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I have a table of these 10 readings,

149.6
150.9
149.7
147.9
147.7
152.4
149.8
152.2
153.2
148.9

They were taken on an optical bench where the smallest unit of measurement was 1mm. I'm trying to calculate the +- error but I'm not sure how to. I've came across 3 methods so far,

1. Standard deviation

2. \frac{max - min}{average}*100 *0.5

3. \frac{max - min}{no.values}​

Which should I use? Also, since the smallest unit of measurement was 1mm, should I round each of my readings to the nearest mm?
 
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Kaldanis said:
I have a table of these 10 readings,

149.6
150.9
149.7
147.9
147.7
152.4
149.8
152.2
153.2
148.9

They were taken on an optical bench where the smallest unit of measurement was 1mm. I'm trying to calculate the +- error but I'm not sure how to. I've came across 3 methods so far,

1. Standard deviation

2. \frac{max - min}{average}*100 *0.5

3. \frac{max - min}{no.values}​

Which should I use? Also, since the smallest unit of measurement was 1mm, should I round each of my readings to the nearest mm?


You probably want the Standard Error in the Mean. When all the N samples have the same error \Delta x, the standard error would be \Delta x / \sqrt{N}.

Take a look here at the section on the Standard Error in the Mean.
 
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