- #1
Wannabe Physicist
- 17
- 3
- Homework Statement
- There are three relevant quantities, ##L,m,n##. I have been given: ##L = 7.056 \pm 0.005## cm. I also have the data set for measurements of ##m## taken as function of ##\Delta p##. I'd like to find the error in ##n##
- Relevant Equations
- ##n = 1+\displaystyle\frac{\lambda p m}{2L\Delta p}##
This is for the lab report I have to submit. ##n## is the refractive index. ##L## is the length of a gas chamber and ##m## is the number of fringes passed as the pressure in the gas chamber changes by ##\Delta p##. We are already given the error in ##L##. I performed the experiment and obtained 16 observations. So I have the data sets ##m = \{m_i\}_{i=1}^{16}## and ##\Delta p = \{\Delta p_i\}_{i=1}^{16}##.
Now I am confused as to how to proceed to calculate the error in ##n##. I should obviously consider the error in ##L##. But how should I use the data sets to compute the error? Should the formula be
$$\frac{\delta n}{n} = \frac{\delta L}{L} + \frac{\sigma_m}{\bar{m}\cdot \sqrt{16}} + \frac{\sigma_{\Delta p}}{\bar{\Delta p}\cdot \sqrt{16}}$$
where ##\bar{m}## and ##\sigma_m## are the mean and standard deviation for ##m## respectively and notations are similar for ##\Delta p##
A classmate of mine suggested using the least count of the pressure gauge (Pressure gauge was calibrated in Torr with least count = 10 Torr). But I don't know if this should be used.
Now I am confused as to how to proceed to calculate the error in ##n##. I should obviously consider the error in ##L##. But how should I use the data sets to compute the error? Should the formula be
$$\frac{\delta n}{n} = \frac{\delta L}{L} + \frac{\sigma_m}{\bar{m}\cdot \sqrt{16}} + \frac{\sigma_{\Delta p}}{\bar{\Delta p}\cdot \sqrt{16}}$$
where ##\bar{m}## and ##\sigma_m## are the mean and standard deviation for ##m## respectively and notations are similar for ##\Delta p##
A classmate of mine suggested using the least count of the pressure gauge (Pressure gauge was calibrated in Torr with least count = 10 Torr). But I don't know if this should be used.