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Mathematics & Statistics (Sci): Examples of statistical data and the use of graphical means to summarize the data. Basic distributions arising in the natural and behavioural sciences. The logical meaning of a test of significance and a confidence interval. Tests of significance and confidence intervals in the one and two sample setting (means, variances and proportions).

Offered by: Mathematics and Statistics

• No calculus prerequisites
• Restriction: This course is intended for students in all disciplines. For extensive course restrictions covering statistics courses see Section 3.6.1 of the Arts and of the Science sections of the calendar regarding course overlaps.
• You may not be able to receive credit for this course and other statistic courses. Be sure to check the Course Overlap section under Faculty Degree Requirements in the Arts or Science section of the Calendar. Students should consult for information regarding transfer credits for this course.

• Terms
  • Fall 2024
  • Winter 2025
  • Summer 2025
• Instructors
  • Jose Andres Correa, David A Stephens
  • Alia Sajjad

Mathematics & Statistics (Sci): Stationary processes; estimation and forecasting of ARMA models; non-stationary and seasonal models; state-space models; financial time series models; multivariate time series models; introduction to spectral analysis; long memory models.

Offered by: Mathematics and Statistics

• Prerequisite: MATH 324 or MATH 357 or equivalent

• Terms
  • Winter 2025
• Instructors
  • David A Stephens