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DATA 1519

Data Modelling II

0.5 credit · Undergraduate

Introduction to modelling real phenomena from planning data collection or gathering observational data to analyzing and providing insights. Topics include experimental design from first principles and simulating the data generating process, linear regression and correlation, one- and two-way Analysis of Variance using open-source statistical software.

2026

Topics

  • 8 4.8, 5.1 – 5.3 discrete random variables. Binomial distribution. Poisson
  • 14 6.1 – 6.4 Normal distribution. Normal approximation to the binomial
  • 5 proportion, two population means, and two population
  • 26 11.1 – 11.3 One-Way Analysis of Variance (ANOVA)
  • 5 11.5 – 11.8 Two-Way ANOVA and Tukey Simultaneous Pairwise
  • 12 12.1 – 12.4 Inferences Concerning the Slope.
  • 19 13.1 – 13.3
  • 26 13.3 – 13.6 Regression Models, Interaction Between Predictors
  • Apr 2 13.8, 13.9 Partial F Test
  • NA Model Building and Selection, Multicollinearity

Prerequisites & course information

Precludes additional credit for ECON 2220 (no longer offered), STAT 2509 , STAT 2559 , STAT 2602 . Prerequisite(s): DATA 1517 or ( STAT 1500 and STAT 2507 ) or ( STAT 1500 and STAT 2655 ) or ( STAT 1500 and STAT 3502 ); or permission of the Institute for Data Science. Lectures three hours a week, laboratory one hour a week.

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