sunjay03 said:
This is for my IB Group IV Project. I myself am at a Physics 20 level with Math 30 (Alberta curriculum) experience. The Group IV Project is a large group project which involves 1 lab in each of the three subjects: Physics, Biology and Chemistry. These labs are student directed and thus designed and executed by the students.
Normally, I would not need to calculate the uncertainty when it has to do with sine functions, and thus do not have the background or know-how to calculate this on my own. That is why I just wanted some equation which gives me the uncertainty I want. The math behind the calculation is not relevant to my understanding since I am not required to know how to do it at all. I simply want to get my lab done and need the correct uncertainty formula for this situation. You need not give me the answer, how about just a formula that allows me to find the answer myself?
Thank you
I see. Well, I can give you a description of the general procedure. You'll have to follow up with a bit of investigation to make it work.
When you have a function of several variables f(x,y,...), where each variable has some uncertainty associated with it, Δx,Δy,..., then the procedure is:
For each variable:
1. Take the partial derivative of the function with respect the variable.
2. Plug in the measured values for all variables into the partial derivative.
3. Multiply the partial derivative by the uncertainty associated with the particular variable.
4. Square the result
Then take the square root of the sum of the values obtained. In symbols for two variables, given a function f(x,y) then:
\Delta f = \sqrt{\left(\frac{\partial f(x,y)}{\partial x}\Delta x\right)^2 + \left(\frac{\partial f(x,y)}{\partial y}\Delta y\right)^2}
A partial derivative is where you treat only one variable as a variable and treat all the others as constants. Essentially this finds the individual variation in the function with respect to each variable at a given point on the function. Multiply this "sensitivity to change" by the size of the error for that variable and it tells you how much the function is expected to vary as a result of that error. These individual variations are added in quadrature (square root of the sum of the squares, just like for vector components).
Further information on error analysis can be found
here.
In order to apply this procedure you'll need to find out how to take the derivative of your function (yes, it's calculus). I might mention that if you do a web search you might just find online applications that will differentiate an expression. Search for "online derivative calculator".