GraphPad Prism - Means Comparison

The class covers all types of means comparisons and similar methods which are implemented in PRISM. Keywords like: t-test, ANOVA, Kruskal-Wallis, gaussian distribution, homogeneity, post hoc tests, paired / unpaired will be explained.

You need to be able to master the GraphPad Prism dialog system and output, thus the introductory training is a prerequisite. The class also covers the basic statistical knowhow needed to understand the different methods.

Content:

• Statistical principles of comparisons of Means
• PRISM interface handling with regard to the comparison of means
• Setup and interpret "Column"-projects
  • One sample t-test
  • T-test and one-way ANOVA for unpaired and paired samples
  • Nonparametric tests for unpaired and paired samples
  • Post tests
• Understand and utilize "Grouped"-projects
  • Two-way ANOVA for unpaired and paired samples
  • Post test
• Professional and fail save data handling, formatting and presentation of graph types specific to mean comparisons

Requirements:

This course is based on the Introduction to Data Analysis with GraphPad Prism.