Experimental physics histogram problem

AI Thread Summary
The discussion revolves around estimating experimental uncertainty in counts from a histogram generated in an experiment. The user initially struggles to identify the relevant equations needed for the calculations. After some time, the user successfully solves the problem and no longer requires assistance. The focus is on understanding how to quantify the variability in measured counts for specific bins in the histogram. The resolution indicates a successful grasp of the concept of experimental uncertainty.
Ertosthnes
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Homework Statement



You have run an experiment and generated a histogram. Suppose you had 853 counts in the bin centered at 1.60, and 2,439 counts in the bin centered at 1.85. If you were to repeat this experiment (by measuring the same source for the same time period, delta t) you know that you would measure a somewhat different number of counts in each of these two bins.

Estimate the experimental uncertainty in the measured number of counts for each of these two bins. In other words, estimate how much your measured number of counts (853 or 2,439) might differ from the true average number of counts in each bin.

Homework Equations


I don't know what the relevant equation is... I guess that's part of the problem.

The Attempt at a Solution


I don't know where to start with this, any help or advice you can give me is very welcome.
 
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Solved it, never mind.
 

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