Download presentation

Presentation is loading. Please wait.

Published byArmani Cheetham Modified over 4 years ago

1
Flag = 1 or 2 or 3 1: 2: 3: [a1, a2, Ea1, Ea2, r] = linear_fit(xyData, xmin, xmax, flag) coefficients x i, y i data in a matrix of n rows by 2 columns Column 1: x i data Column 2: y i data max x value for plot min x value for plot uncertainties correlation coefficient

2
[area, prob, FWHM, xFWHM1, xFWHM2] = gauss(mu, sigma, x1, x2) Outputs Total area under curve (%) Probability (%) Full Width at Half Maximum and corresponding x values mean Standard deviation Limits for probability calculation Inputs

3
prob = chi2test(dof, chi2Max) Outputs Probability 2 > 2 max Value of 2 to test Degrees of freedom Inputs

4
[n, xbar, mode, median, s_pop, s_sample, E] = stat(StatData) Outputs Number of measurements Inputs Mean Mode Median Sample standard deviation Population standard deviation Standard error of the mean Measurements: Frequency Value

Similar presentations

OK

Probability: Part 2 Sampling Distributions Wed, March 17 th 2004.

Probability: Part 2 Sampling Distributions Wed, March 17 th 2004.

© 2018 SlidePlayer.com Inc.

All rights reserved.

To make this website work, we log user data and share it with processors. To use this website, you must agree to our Privacy Policy, including cookie policy.

Ads by Google