**Statistical analysis**

**BASIC STATISTICAL ANALYSIS & GRAPHING**

__For Discrete Data*:__- Use Fisher's exact test for data with a total sample size of less than 1000
- Use Chi-square or G–test for data with a total sample size of greater than 1000

****Whole, concrete numbers with specific and fixed data values determined by counting*

**For Continuous Data:****When comparing two samples**(e.g., control versus treated):- Use Student’s t-test for normal (parametric) distributions with equal variance then present as a bar graph
- Use Mann-Whitney U Test for non-parametric analyses then present as a box plot

**When comparing more than two samples**(e.g., control, treatment A, treatment B, etc.):- Use One Way ANOVA followed by Tukey for normal (parametric) distributions with equal variance then present as a bar graph
- Use One Way ANOVA followed by Kruskal-Wallis for non-parametric analyses then present as a box plot

**When comparing samples with****two variables**(e.g., control for 1h & 24h, treatment A for 1h & 24h, treatment B for 1h & 24h, etc.):- Use Two Way ANOVA followed by Tukey for normal (parametric) distributions with equal variance then present as a grouped bar graph
- Use Two Way ANOVA followed by Friedman's test for non-parametric analyses then present as a grouped box plot

**Watch these videos to learn how to do basic statistical analyses in Graph Pad*

Copyright ©2016, University of the Philippines Diliman, Institute of Biology, Regenerative Biology Research Laboratory