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QMET 201

Biometrics

Course overview

You¡¯ll be introduced to the computer packages used in data visualisation and data analysis.

Course information

Prerequisites and Restrictions You must satisfy the following requirement(s):
  • a minimum of 75 credit point(s) from the course(s) specified below
  • a minimum of 75 credit point(s) from the course(s) specified below
  • any level 100 course
  • any level 200 course
  • any level 300 course

Available semesters Semester 2 2024 Semester 2 2025
Credits 15
Domestic fees $887.00

What you will learn

After successfully completing this course, you¡¯ll be able to:

  1. Describe the principles of good experimental design.
  2. Identify appropriate statistical methods to analyse data obtained from a range of experimental scenarios.
  3. Understand statistical terms and numerical information found in scientific literature.
  4. Design good scientific studies.
  5. Use the statistical software packages, Excel and Minitab to produce numerical summaries and graphical displays of biological data.
  6. Use Minitab to perform appropriate statistical analysis of biological data.
  7. Interpret and report the results from statistical analyses.

Course examiners

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Jasmine Tanner

Lecturer

Faculty of Agriculture and Life Sciences

jasmine.tanner@lincoln.ac.nz