Introduction to Statistical Computing
Statistics 406
Course notes:
Course overview
Course topic list
An overview of R programming
Review of basic terminology
Basic properties of the sample mean
Other estimates of the population
mean
Behavior of the sample mean for non-iid
data
LLN and CLT
Confidence intervals
Hypothesis tests
Binary data
2006 elections
Temperature record reconstructions
Problem sets:
Problem set 1 (solutions)
Problem set 2 (solutions)
Problem set 3 (solutions)
Problem set 4 (solutions)
Problem set 5 (solutions)
Problem set 6 (solutions)
Problem set 7 (solutions)
Problem set 8 (solutions)
Problem set 9
Problem set 10
Some more context for problem set 8
Exam information:
The exam will take place on November 16th during class.
2005 exam
Practice problems for the exam, with
solutions
2006 exam, with solutions
R:
Download R here (choose the
precompiled binary for your system).