CSC 423/324

Announcements:

• Quiz #7 is now available.
• Quiz #7 will be on Thu, 3/20. Review these lecture notes. You should know how to use proc reg output to address hypotheses for the two independent sample problem. Also, you must be able to state the general linear model for multiple regression and you must be able to use proc reg output to address hypotheses about the intercept and slope. No additional practice problems will be posted.
• Quiz #6 will be on Thu, 3/13. Review these lecture notes. Work these practice problems.
• Note: The Project #3 link is now active. It is due on 3/20.
• Quiz #4 solutions now available.
• Quiz #5 is now available.
• Cancelled class details (small update posted on 3/3).
• Quiz #5 will be on Thu, 2/27. Review these lecture notes. Try these practice problems. Here are the solutions.
• Note: The Project #2 link is now active. It is due on 3/6.
• Quiz #4 will be on Thu, 2/20. Review these lecture notes. The quiz will cover the independent sample problem only (Theorem 1 and Theorem 2a) and so you should be prepared to do CI, sample size determination and hypothesis testing problems. Additional practice problems and solutions are available.
• Reminder: No quiz on Thu, 2/13. The next quiz will be on Thu, 2/20.
• MIDTERM - Thu, Feb 6^th (review tips).
• Note: The Project #1 link is now active. It is due on 2/6.
• Quiz #3 will be on Thu, 1/30. Review these lecture notes. For additional hypothesis testing practice, work set #1 and set #2 and set #3.
• Reminder: A Lab/bootcamp session (optional) for Project #1 is scheduled for Fri, 1/24 @ 11:30am-12:30pm. Location: Lewis 1307. Another bootcamp is tentatively scheduled for Wed, 1/29 @ 6:00pm-7:00pm. Location: Lewis 1307.
• Quiz #2 will be on Thu, 1/23. Review these lecture notes. For additional sampling distribution practice, work set #1 and set #2 problems. For additional CI practice, work these problems. For additional sample size determination practice, work this problem.
• Quiz #1 will be on Thu, 1/16. Review these lecture notes. For additional practice work these normal problems. Since the Student t is not covered in the readings, work set #1 and set #2 Student t problems.

• Syllabus
• Math/Statistics Tips:
  • Standard Normal table
    Note: This table provides proportions between -z and z unlike the table in Ott.
  • Standard Student t table
  • P-Value
  • Regression/Least Squares - Minimizing Residuals
  • The effect of outliers on the regression equation
• SAS Tips:
  • SAS@Home
  • SAS for Windows
  • SAS for Unix
  • Normal Probability Plot
  • SAS Review
• Data & SAS Code
• Readings
• Lecture Notes
• Projects