MGCR 271 Business Statistics (3 credits)

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Offered by: Gestion (Gestion)

Vue d'ensemble

Tronc commun de gestion : Statistical concepts and methodology, their application to managerial decision-making, real-life data, problem-solving and spreadsheet modeling. Topics include: descriptive statistics; normal distributions, sampling distributions and estimation, hypothesis testing for one and two populations, goodness of fit, analysis of variance, simple and multiple regression.

Terms: Automne 2010, Hiver 2011, Été 2011

Instructors: Derek Hart, Morty Yalovsky, Dan Zhang, Glenn Zabowski, Paul John D'Antoni (Fall) Ramnath Vaidyanathan (Winter) Kenneth MacKenzie (Summer)

  • Prerequisite: MATH 122 and 123 or equivalent
  • Restriction: Not open to students who have taken or are taking MATH 204, MATH 324, PSYC 204, ECON 227, ECON 257
  • 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.