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Course material – Statistics for Biologists

November 4th, 2019 - January 19th, 2020

Course description

The aim of this course is for students to gain a basic understanding of statistical and probability theory, to be introduced to the most commonly-used statistical methods within the biological sciences, to understand the assumptions associated with each statistical test, to gain practical experience in using these tests in R, and to learn how to choose the appropriate test for a given dataset.

Schedule

Course schedule (pdf; 434 kB)

Course book

Quinn & Keough (2002) Experimental design and data analysis for biologists. Cambridge University Press.

Beckerman, Childs & Petchey (2017) Getting started with R: An introduction for Biologists (2nd edition). Oxford University press.

The books can be purchased online or via the Biology Library.

Lectures and exercises

Introduction to R (optional)
Material for introduction to R (.zip; 3.2 MB); 2019 11 04


Lecture 1: Introduction
Exercise 1: Working with your dataset
Material for lecture 1 and exercise 1 (.zip; 1.4 MB); 2019 11 05


Lecture 2: Binomial and poisson distributions
Exercise 2: Descriptive statistics and plotting
Material for lecture 2 and exercise 2 (.zip; 1.6 MB); 2019 11 11


Lecture 3: Normal distribution and estimation
Exercise 3: The binomial and normal distributions
Material for lecture 3 and exercise 3 (.zip; 1.5 MB); 2019 11 13


Lecture 4: Hypothesis testing and power analysis
Exercise 4: T-tests and correction for multiple testing
Material for lecture 4 and exercise 4 (.zip; 1.7 MB); 2019 11 18


Lecture 5: Regression and correlation
Exercise 5: Correlation and regression
Material for lecture 5 and exercise 5 (.zip; 1.9 MB); 2019 11 20


Lecture 6: Multiple regression
Exercise 6: Multiple regression and model selection
Material for lecture 6 and exercise 6 (.zip; 1.9 MB); 2019 11 25


Lecture 7: One-way ANOVA
Exercise 7: One-way ANOVA
Material for lecture 7 and exercise 7 (.zip; 1.5 MB); 2018 11 27


Lecture 8: Multifactor ANOVA
Exercise 8: Multiway ANOVA and mixed models
Material for lecture 8 and exercise 8 (.zip; 1.7 MB); 2019 12 02


"Mid-term" exercise: Practice for the final exam
Material for "mid-term" (.zip; 1.8 MB); 2019 12 03
Mid-term answers


Lecture 9: Block designs and repeated measures
Exercise 9: Nested models and block designs
Material for lecture 9 and exercise 9 (.zip; 2.2 MB); 2019 12 04


Lecture 10: Analyzing frequencies
Exercise 10: Ancova and repeated measures
Material for lecture 10 and exercise 10 (.zip; 1.6 MB); 2019 12 09


Lecture 11: Logistic regression and GLM
Exercise 11: Frequency tests and generalized linear models
Material for lecture 11 and exercise 11 (.zip; 1.8 MB); 2019 12 11


Lecture 12: Multivariate analysis
Exercise 12: Multivariate methods
Material for lecture 12 and exercise 12 (.zip; 1.7 MB); 2019 12 16


Lecture 13: Survival analysis
Exercise 13: Survival analysis
Material for lecture 13 and exercise 13 (.zip; 1.6 MB); 2019 12 18


Exam ht 2019 — Has been sent out by email to registered students. Contact jessica [dot] abbott [at] biol [dot] lu [dot] se ASAP if you did not receive the exam materials.

 

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Contact information

Jessica Abbott
Researcher
Evolutionary Ecology

Telephone: +46 46-222 93 04
E-mail: Jessica [dot] Abbott [at] biol [dot] lu [dot] se