Statistics (STAT) Courses>Data Analysis

STAT359 - Data Analysis

Description

An introductory data analysis course for students who have had an introduction to descriptive statistics, probability distributions, estimation, hypothesis testing and confidence intervals. Emphasis is placed on proper use of computer software, interpretation of output and assumptions required for use of each statistical method. Topics may include: linear and nonlinear regression, time series analysis, analysis of variance, design of experiments, generalized linear models, repeated measures analysis, survival analysis, methods for multivariate data, and nonparametric methods.

Units

1.5

Hours: lecture-lab-tutorial

3-1-0

Prerequisites

  • Complete 1 of:
    • STAT252 - Statistics for Business (1.5)
    • STAT254 - Probability and Statistics for Engineers (1.5)
    • STAT255 - Statistics for Life Sciences I (1.5)
    • STAT260 - Introduction to Probability and Statistics I (1.5)
    • ECON245 - Descriptive Statistics and Probability (1.5)
    • GEOG226 - Introduction to Quantitative Methods in Geography (1.5)
    • PSYC300A - Statistical Methods in Psychology (1.5)
    • SOCI371A - Statistical Analysis in Sociology: I (1.5)
  • or permission of the department.

Course offered by

Department of Mathematics and Statistics

Course schedules

Summer timetable available: February 15. Fall and Spring timetables available: May 15.

Use the buttons below to search the timetable. If the search results show 0 classes and the message ‘Please search again’, then the class is not scheduled for the selected term.