CLICK HERE to get to the Bonus Exercise. This is due in my hands no later than Thursday (12th) at 10:45 AM.

Answers are here

• Swine Flu Statement (please read)
• Standard format for lab reports starting with Lab 4
• Answers to Lab Exercise 3 can be found here
• Answers to Lab Exercise 4 can be found here
• Answers to Lab Exercise 5 can be found here
• R commands used to answer Lab Exercise 5 can be found here
• The Handout for Lab Exercise 6 is here (You have the key!)
• For Lab Exercise 7, work through the following two documents in R and compile a list of questions concerning things you didn't understand. Then contemplate the bird feeding data. There is nothing to hand in.
  • A Regression Analysis In Which Everything Goes Perfectly
  • A Regression Analysis With A Lot of Problems (and how to solve them)
  • Note: the data for the bird feeding problem are now at the ftp site in birds.txt and birdfeeding.txt.
• The Handout for actual graded Lab Exercise 7 is here
• Answers to Lab Exercise 7 can be found here
• Lab 8 without the submit button can be found here
• Lab 9 without the submit button can be found here

Grading Policy for this course: Grading will be based on twelve lab exercises. These will be handed out in class to be done at home or in the computer lab. An Internet connection will be needed to complete some of them. Each lab exercise will be worth 40 pts. In addition, a shorter 20-pt exercise will be handed out near the end of the semester and due during Finals Weeks. Thus, there are 500 points available for the course. Final grades will be determined on the following scale:

• 450 - 500 pts: A
• 430 - 449 pts: B+
• 400 - 429 pts: B
• 380 - 399 pts: C+
• 350 - 379 pts: C
• 330 - 349 pts: D+
• 300 - 329 pts: D
• 0 - 299 pts: F

Students will receive the same grade for the lecture and lab sections of the course.

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   TIPS, TIPS, TIPS!!!
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• How to download and install R
• How to start R on a Windows computer
• How to save stuff in R
• Some tips on doing decent barplots
• How to save the R graphics window in WinXP

• Course Syllabus -- Fall 2009
• Basic Statistics Review Using R (pdf file)
• Additional R Tutorials (If you want them.)
• Data Summarization and Statistical Analysis Decider (pdf file)
• Confounding Variables (pdf file)
• Relationship Between SAT Scores and College GPA (Correlation and Regression) (pdf file)
• Adding a Gender Variable to SAT and GPA (Analysis of Covariance) (pdf file)
• What Are We Up To? (Statistically Speaking, That Is) (pdf file)
• Notes on the Analysis of Full Moon and Birth Rate (text file)
• A 1978 Calendar to Help With the Full Moon Problem (jpeg file)
• Finding the Right Relationship: Intro to Nonlinear Regression (pdf file)
• One Final Problem in Regression Analysis (pdf file)
• Experimental Design and ANOVA (html file)
• Introduction to Analysis of Variance (pdf file)
• Simple Between Subjects ANOVA in R (pdf file)
• Factorial ANOVA in R (pdf file)
• ANOVA: Solving Problems With Assumptions (pdf file)
• Factorial ANOVA and Unbalanced Designs (pdf file)
• ANOVA With Within-Subjects Factors (pdf file)
• Logistic Regression (pdf file)

Link to the R Project home page (External link)

Get the datasets here
Get custom R functions here

Online Statistics Books (these are all external links)

• Online Statbook dot com
• Hyperstat
• Statsoft
• Statistics at Square One
• Lowry's statbook at Vassarstats
• The Little Handbook of Statistical Practice
• SticiGui (UC Berkeley)
• SurfStat Australia
• A New View of Statistics (Sportscience)
• StatNote

Humor (You'll need 480 to get some of these!)