Analysis 5
In the past few tutorials, you learned how to fit data using a linear model. While many datasets may be fit with such a model, other datasets, including some that you encounter in the lab course, will not be described by linear models. Remember that a model is linear if it is linear in the parameters. Here we introduce some data that is supposed to represent counts of something
Data for non-linear model and confidence interval example: media:counts.txt; Code (change sufixx to .py) media:Nonlinear_model.txt; Output media:Data_nonlinear.png, media:Counts_with_fit.png, media:Confidence_peak_constant_background.png
