G by free fall experimental error

AI Thread Summary
The discussion focuses on the calculation of uncertainty using the difference between maximum (TMax) and minimum (TMin) values, denoted as Δ. To determine the percentage uncertainty, Δ is halved to obtain Δ/2, which represents the maximum potential error from the midpoint of the two values. This approach allows for a clear understanding of how much the values can vary from the average. Halving Δ provides a practical way to quantify uncertainty in experimental measurements. The method emphasizes the importance of accurately assessing error margins in data analysis.
Darth Frodo
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This isn't so much a H/W question, but we have 2 sets of values,

TMax and Tmin.

Δ is the difference between them.

We are told to get Δ/2 and get the %uncertainty of this.

Why do we halve Δ?
 
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If you choose a value right in the middle of your max and min values, then you can say that the max value differs by Δ/2, and the min also differs by Δ/2. So Δ/2 could be considered sort of a maximum error value.
 
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