This course explores the nature of data and the challenges involved in collecting and handling
it, this includes planning the collection of data necessary to examine a particular problem,
manipulation of data, summarizing and describing a data set. It also covers the statistical
approach for testing hypotheses, and performing data analysis using current statistical tools as
a tool for description and hypotheses testing. Students will also interpret and evaluate
statistical analyses used by others, design experiments, and analyze and interpret the results of
experiments or observational studies.
- Identify statistical analyses necessary for successful research in biology
- Interpret descriptive statistics in the context of biological data.
- Use methods of inferential statistics to draw conclusions about biological phenomena.
- Describe the purpose of statistical analysis and the scientific method to study biology.
- Carry out data collection, construct hypotheses, analyze data, and apply statistical
- Explain principles of good study design in the collection of data.
- Construct testable hypotheses to answer questions of interest.
- Analyze data to provide numerical and graphical data summaries.
- Apply statistical methods to make inferences about questions of interest.
- Use the R software environment for statistical analysis of data.
- Critically evaluate scientific studies based on their study design and statistical
- Communicate the purpose and methods of inferential statistics to audiences familiar with
- Course Introduction
- Displaying and Describing Data
- Statistical Inference
- Proportions, Frequencies, and Contingency Analysis
- Inference for One or Two Groups
- Data Transformations and Nonparametric Methods
- Designing Effective Experiments
- Inference for More than Two Groups
- Correlation and Regression
- Multiple Factors and Meta-Analysis
- Computer-Intensive Methods and Survival Analysis
- Multivariate Methods
Required text and materials
The following textbook is required for this course:
- Whitlock MC, Schluter D. 2020. The analysis of biological data, 3rd edition. W. H. Freeman.
Type: Textbook ISBN: 978-1-319-22623-7
- R Statistical Software and RStudio. Details on how to install and download can be found
within the course after registration.
To complete this course successfully, students must achieve a passing grade of 50% or higher on
the course overall and 50% or higher on the mandatory Final Project.
|Assignment 1: Lessons 1-3
|Quiz 1: R Tutorials 1-3
|Assignment 2: Lessons 4-6
|Quiz 2: R Tutorials 4-6
|Assignment 3: Lessons 7-9
|Quiz 3: R Tutorials 7-9
|Assignment 4: Lessons 10-12
|Quiz 4: R Tutorials 10-12
|Final Project (mandatory)
Open Learning Faculty Member Information
An Open Learning Faculty Member is available to assist students. Students will receive the necessary contact information at the start of the course.