This short course is designed to teach researchers about statistics applied to laboratory data.

Learning Objectives 

• Define key terms like populations, samples, and distributions

• Understand the basic principle of experimental design

• Summarize data using measures like mean, median, and standard deviation

• Understand the common distributions (e.g., normal, binomial)

• Perform hypothesis tests and understand confidence intervals

• Analyze relationships between variables using correlation and linear regression

• Recognize which statistical test is the most appropriate for your research

• Conduct T-tests and ANOVAs and understand experimental design principles like randomization

• Apply non-parametric tests when data assumptions are not met