Introduction to GraphPad Prism

Day 1: Introduction and statistical basics

• Structure of Prism
• Project types and workflow
• First examples (Column and XY project)
• Focus on graph creation and workflow
• Example and exercise: data import

Day 2: Introduction and statistical basics - continuation

• Statistics basics
• Population and sample
• Descriptive statistics
• Example: Descriptive statistics and error bars (SD, SEM, CI)
• Hypothesis testing: Idea, workflow, interpretation
• Example and exercise: group comparison via t-test and alternative procedures

Day 3: Data analysis with Prism

All topics with example and exercise in the software

• Group comparisons (One Factor - Column Project)
• ANOVA: idea, interpretation, prerequisites
• Post-Hoc Tests (Multiple Comparisons)
• Alternative methods
• Dependent Measures: Repeated Measures ANOVA
• Group Comparisons (Multiple Factors - Grouped Project)
• Two-Way ANOVA: Idea, Interpretation, Special Features
• Overview of group comparisons: When to use which test?

Day 4: Data analysis with Prism - continuation

• Curve Fitting Regression
• Basics, linear regression
• Linear vs. non-linear regression
• Curve fitting using the example of dose-response
• Optional or desired topics
• Special analysis methods (e.g. logistic regression)
• Other project types (e.g. survival)
• Processing and discussion of own questions