What you’ll find here:

• How to plan your statistical analysis before you perform the experiment
• How to perform experiments randomised and blinded, and why that’s important
• Types of variables
• Learn how to determine the way your data is distributed, and why this is important
• Replicates
• Sample size, n and N
• Learn what power is and how to determine sample size to achieve strong statistical power
• How to analyse correlation studies
• Learn the best central measure to use
• Learn the best error bars to use
• Choose the right graph to present your data 
• Learn about Prism and why it’s great for data presentation and analysis
• Learn how to identify outliers
• Multiple comparisons, type I and type II errors
• Learn about the different types of statistical tests and how to choose the appropriate statistical test to perform for your data
• P and p
• Be able to critically assess the methods, results, and conclusions of published papers