Welcome to the Web Page of ST3540(001), being offered in Winter 2008.

CLASSES HAVE ENDED FOR THIS COURSE

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FINAL EXAM: MONDAY, APRIL 14, 10AM-NOON. HH3013.


Course Syllabus.


People, Places, and Times

  • Class times: MWF 10:00-10:50am (Slot 3). HH-3013.
  • Instructor: Gary Sneddon
  • Office: HH-3057
  • Phone: 737-8069 or 737-8784 (departmental office).
  • Email address: sneddon@math.mun.ca
  • Announcements

  • An older edition of the texbook for the course is on reserve in the main library. It is available on a strict 2 hour loan period.
  • FINAL EXAM

  • The final exam will be held on MONDAY, APRIL 14, 10am-noon, in HH-3013.
  • Link to find entire exam schedule.
  • Course review handout.
  • MIDTERM TEST

  • The midterm test was held on Wednesday, Feb. 27, and was returned on Friday, Feb. 29.
  • Projects

  • Your projects are due on or before April 4 (the last day of clsases).
  • Project Information.
  • MINITAB HELP

    If you've never used Minitab before, or need a reminder of some basics in Minitab, please check out my webpage for Stats 2500:

    Gary's Stats 2500 Webpage

    and go to the section Lab Sessions, Instructors and Assignment Boxes. Here you will find links to handouts used in the first labs in Stats 2500. These will tell you about getting into Minitab, entering data, and saving and printing results.

    ASSIGNMENTS

  • Assignment #1 was given out in class on Friday, Jan. 11, and was due Mon., Jan. 21. The questions are here. It was returned in class on Wed., Jan. 30.
  • SOLUTIONS: ASSIGNMENT #1.
  • Assignment #2 was given out in class on Wednesday, Jan. 30 and was due on Friday, Feb. 8. The questions are here, along with the djia.mtw data file for the final question. Plain text version of DJIA data, if you don't want to use Minitab.
  • . It was returned in class on Friday, Feb. 22.
  • SOLUTIONS: ASSIGNMENT #2.
  • Assignment #3 was posted on Wednesday, Feb. 13. The questions are here, along with the unemploy.MTW. Plain text version of unemployment data, if you don't want to use Minitab.
  • SOLUTIONS: ASSIGNMENT #3.
  • Assignment #4 was emailed on Friday, Feb. 29 and posted online on Tuesday, March 4. The questions are here. lumber.mtw file. Plain text version of lumber data.
  • SOLUTIONS: ASSIGNMENT #4. Marked out of 20 points.
  • Assignment #5 was given out in class on Wednesday, March 12. The questions are here. chem.mtw file. Plain text version of chem.mtw.
  • Lecture notes, courtesy of Dr. Alwell Oyet

    These are pdf files.
  • Lecture Notes: Part I.
  • Lecture Notes: Part II.
  • Lecture Notes: Part III.
  • Lecture Notes: Part IV.

  • Assorted Handouts

    Some of these files are pdf files, while others (especially those that include Minitab output) are rtf (rich text format) files, which can be viewed with Microsoft Word, Wordpad, Notepad or Openoffice.

    Course Syllabus. Given out Jan. 7


    Sampling Distribution Handout. Given out Jan. 7


    Statistical Inference Review. Given out Jan. 7


    Simple Linear Regression in Minitab. Given out Jan. 12.


    Multiple Linear Regression in Minitab. Given out Jan. 16.


    Time Series Regression. Given out Jan. 21.


    Modelling Seasonal Variation using Indicator Variables. Given out Jan. 30.


    The Partial F-test in Regression. Given out Feb. 1.


    Modelling Seasonal Variation using Trig Functions. Given out Feb. 4.


    Multiplicative Decomposition. Given out Feb. 8.


    Simple Exponential Smoothing. Given out Feb. 15.


    Trend Corrected (Double) Exponential Smoothing. Will be given out Feb. 25.


    Winters Method for Multiplicative and Additive Models. Given out Feb. 29.


    Means and Variances of Random Variables. Given out March 5.


    Studying a Stationary Time Series.


    Transforming a Nonstationary Time Series.


    Estimation, forecasting and model selection in ARIMA models.


    Gary Sneddon
    Updated April 4, 2008