Course Overview

Introduction to statistics for life and environmental sciences.

Learning Achievement

To give students an understanding of the basics of variability, etc.

Competence

To give students a basic understanding of statistical inference and testing

Course prerequisites

None

Grading Philosophy

Homeworks focusing on practical skills in data analysis

Course schedule

Introduction to experimental design
Variability of data
Replication
Probability and chance
Measures of variability
Gaussian distribution
Non-normal distributions
Data presentation
Looking for differences 1
Null hypothesis
1-sample t-test
Looking for differences 2
2-sample t-test
Paired t-test
Looking for differences 3
Intro to ANOVA
Looking for differences 4
ANOVA post-hoc testing
Extensions to ANOVA
Looking for relationships 1
Introduction to regression
Looking for relationships 2
Regression2
Looking for relationships 3
Correlation
Non-parametric tests

Course type

Lectures

Online Course Requirement

Instructor

Irving Louis John

Other information

As discussed at Week 1.

Site for Inquiry

Link to the syllabus provided by the university