Physics307L F09:Schedule/Week 8 agenda
Discussion of Lab
Summary for Lab#2
Rough draft of final report due beginning of Week 12
Error propagation 1.0
Principle of Maximum Likelihood
Fitting a line (linear regression, least-squares fit for a line)
Fitting y = mx + b versus x = m'y + b'
REMEMBER to use example of fitting y = mx + b versus x = m'y + b'