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What properties does some measurement possesses such that they fit along a normal curve? And how was the general formula found? Wikipedia says very little on this.
The normal distribution comes out of one of the fundamental theorems in probability theory "Central Limit Theorem". The general idea is that when adding up, and properly normalizing, a large number of independent random variables, the distribution of the result is approximately normal.Jarle said:What properties does some measurement possesses such that they fit along a normal curve? And how was the general formula found? Wikipedia says very little on this.
mathman said:The normal distribution comes out of one of the fundamental theorems in probability theory "Central Limit Theorem". The general idea is that when adding up, and properly normalizing, a large number of independent random variables, the distribution of the result is approximately normal.
The errors are random in nature, independent from each other. If there is a systematic error, it will show up as an error in the mean (assuming you have a theoretical mean to compare).Jarle said:What assumptions are we making about the nature of our measurements when we assume they will fit the normal curve?
mathman said:The errors are random in nature, independent from each other. If there is a systematic error, it will show up as an error in the mean (assuming you have a theoretical mean to compare).
Jarle said:How does the independence of errors imply that it is normally distributed?