a) Divide Peak channel count by 2
b) Right channel is 1
st
channel # that has counts less than ½ Peak channel counts
c) Left channel is 2st channel # that has counts less than ½ Peak channel counts
Chi-Square
Chi-Square (χ
2
) test is a means for testing whether random variations in a set of measurements
are consistent with what should be expected for a POISSON DISTRIBUTION.
1. Obtain a set of 10 counting measurements, 10 seconds each.
2. Compute the mean 𝑁
4. The probability is that it should fail 20% of the time: 10% high and 10% low.
This Chi-Square result should be between 4.168 and 14.684.