Carleton University · BIOL 3604

Statistics for Biologists

Credits : 0.5 creditReference year : 2026-27

Description

Introduction to the analysis of biological data. Students analyze real biological data sets in weekly laboratory sessions. Methods introduced include simple linear, polynomial, and multiple regression analysis, analysis of variance, nonparametric tests, tests of independence and logistic regression analysis.

Prerequisites

  • Prerequisite(s): BIOL 1105 or STAT 2507 .

Conditions and arrangements

  • Prerequisite(s): BIOL 1105 or STAT 2507 .
  • Lectures one and one-half hours and laboratory two and one-half hours a week.
Reference text in its original language

Introduction to the analysis of biological data. Students analyze real biological data sets in weekly laboratory sessions. Methods introduced include simple linear, polynomial, and multiple regression analysis, analysis of variance, nonparametric tests, tests of independence and logistic regression analysis.

  • Prerequisite(s): BIOL 1105 or STAT 2507 .
  • Lectures one and one-half hours and laboratory two and one-half hours a week.

Sources and references

Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.

Source reference : https://calendar.carleton.ca/undergrad/courses/BIOL/

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