1. A few comments about standard deviations, distributions, etc.

a.) finite, discrete data vs. smooth distributions of continuous variables.
b.) CV, confidence intervals, integrals over Gaussian distributions; reiterate estimated error in the mean.
c.) Recursion Relations for mean, standard deviation, other moments.
d.) non-Gaussian distributions e.g. exp(-ax)
e.) simple error propagation: sums, multiplications

2. Models vs. Data

a.) What do we really want?
b.) Straight Line fit example.
c.) Generalized linear fits.
e.) Non-Linear Fitting.
f.) Weighted fitting