Statistics 22000, Summer 2008

Welcome to the course page for Statistics 22000. Important announcements will be posted here. This page was last updated August 19, 2008 at 12:30 PM.

Office Hours and Problem Sessions

• Instructor: Darongsae Kwon ( dkwon@uchicago.edu )
  Office hour: Wednesday 3:30-4:30 (or by appointment), Eckhart 08
  Office phone: 773-702-8330

• CA: Takintayo Akinbiyi ( akinbiyi@uchicago.edu )
  Problem Sessions (Recitations): Tuesday 3:00-4:00, Eckhart 117

Links

• Syllabus (pdf)
• Textbook Site
• Crunch It! (Requires Java plugin)
• Chalk Site (see 'Course Documents' for additional study material)
• Textbook data sets (chapters 1 - 17)
• R Resources:
  • R Project
  • R Manuals from the R Project
  • An introduction to R (pdf)
  • Getting started with R (pdf)
  • R reference card (pdf)

Homework:

• Homework 0 (Do not turn in.)
• Homework 1 Due Th. July 3
• Homework 2 Due Th. July 10
• Homework 3 Due Th. July 17
• Homework 4 Due Th. July 24
  * Midterm Exam: 1:00-3:00pm, Th. July 24 (covers homework 1-4)
  
• Homework 5 Due Th. July 31
• Homework 6 Due Th. August 7
• Homework 7 Due Th. August 14
• Homework 8 Due Tu. August 19
  * Final Exam: 1:00-3:00pm, Th. August 21 (covers homework 1-8)

Practice Exam:

• Practice Midterm
• Practice Final

Lecture Notes:

• Lecture 1 (Graphical representations of data), June 24
• Lecture 2 (Numerical descriptions of data), June 24
• Lecture 3 (The normal distribution), June 26
• Lecture 4 (Scatterplots, correlation), June 26
• Lecture 5 (Experimental design), July 1
• Lecture 6 (Samples, surveys, sample statistics), July 1
• Lecture 7 (Introduction to probability), July 3
• Lecture 8 (Independence; conditioning; Bayes' rule), July 3
• Lecture 9 (Counting), July 8
• Lecture 10 (Random variables), July 8
• Lecture 11 (Mean and variance; binomial distribution), July 10
• Lecture 12 (Covariance; normal approximation to the binomial), July 15
• Lecture 13 (Sample mean and Central Limit Theorem), July 15
• Lecture 14 (Confidence Intervals), July 17
• Lecture 15 (Hypothesis testing), July 22
  * Midterm Exam: 1:00-3:00pm, Th. July 24 (covers lectures 1-8 & 10-13)
  
• Lecture 16 (Power of a test, types of error), July 29
• Lecture 17 (Confidence intervals and tests using the t-distribution), July 29
• Lecture 18 (Comparing the means of two populations), July 31
• Lecture 19 (Inference for proportions), July 31
• Lecture 20 (Introduction to least squares regression), August 5
• Lecture 21 (Transformation of data; cautions about regression), August 7
• Lecture 22 (Inference for simple linear regression), August 12
• Lecture 23 (Multiple linear regression), August 14
• Lecture 24 (Two-way tables and the chi-squared test), August 19
  * Final Exam: 1:00-3:00pm, Th. August 21

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