Calendar

SES # TOPICS KEY DATES
1-3 Distributions derived from the normal distribution; the method of maximum likelihood  
4-6 Binomial confidence intervals Problem set 1 due in Ses #4
7-9 Linear least squares Problem set 2 due in Ses #7
10, 11 Estimation of parameters and fitting of probability distributions Problem set 3 due in Ses #10
12 Review for exam 1  
13 Exam 1  
14, 15 Estimation of parameters and fitting of probability distributions (cont.)  
16-18 Testing hypotheses and assessing goodness of fit Problem set 4 due in Ses #16
19-21 The analysis of variance Problem set 5 due in Ses #19
22, 23 The analysis of categorical data Problem set 6 due in Ses #22
24 Review for exam 2  
25 Exam 2  
26 The analysis of categorical data (cont.)  
27-29 Summarizing data Problem set 7 due in Ses #27
30-32 Comparing two samples Problem set 8 due in Ses #30
33, 34 The Bayesian approach to parameter estimation Problem set 9 due in Ses #33
35 Review for exam 3  
36 Exam 3  
37, 38 Comparing two independent samples (Bayesian approach) Problem set 10 due two days after Ses #38