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| | #1 (permalink) |
| Sabbatical punter ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() Join Date: 27 Nov 2000 Age: 29
Posts: 10,257
| I've simulated a gaussian distribution on excel using the 'normdist' function like this: B1 = normdist(A1,0,1,false) then in B1 to B60 i've got the numbers -3 - +3 in steps of 0.1. When I plot A1 against B1 it's fine I get a normal curve. But I'm having a problem with the standard deviation. It was easy enough to calculate the mean (which should be zero) by doing C(x) = A(x)*B(x) (where x = row index) then the mean is just the average of column C. But when I come to calculate the standard deviation I get a value of 0.153, when it should be 1. I know I'm overlooking something embarrasingly simple but what is it?
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| | #2 (permalink) | ||
| Junior Punter ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() Join Date: 30 Oct 2004
Posts: 11,910
| Quote:
A goes from -3 to +3, and B is the height of the normal curve? Quote:
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| | #3 (permalink) | |
| Sabbatical punter ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() Join Date: 27 Nov 2000 Age: 29
Posts: 10,257
| Quote:
Standard deviation was calculated 2 ways, 1 using the excel function: D1 = stdev(column C), gives 0.153 secondly D(x) = C(x)^2 E(x) = sqrt(sum(D)/60) = 0.153
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| | #4 (permalink) | |
| Junior Punter ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() Join Date: 30 Oct 2004
Posts: 11,910
| Quote:
by the probability distribution in column B, so what you should be calculating is sqrt[ (sum(A^2 * B) / sum(B) ] sum(B) should turn out to be about 10, since you're using steps of 1/10. | |
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