diff --git a/03-stats.Rmd b/03-stats.Rmd
index 32eaba1..d1d8a9d 100644
--- a/03-stats.Rmd
+++ b/03-stats.Rmd
@@ -152,31 +152,15 @@ You can adjust various factors and see their effect on the enrichment p-values.
### **Questions** {- .rationale}
1. If 24 of the 300 differentially expressed genes are annotated with the 500-gene term of interest. Is it significant at p=0.05?
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-No, corrected pval=0.087
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2. What about with a smaller background of 5000 genes (e.g. proteomic datasets)?
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-Even less so - corrected pval=1
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3. Or, testing against a smaller database of terms; 2000 terms instead of 10000? With the original 16000 gene background.
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-Yes, now corrected pval=0.017
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4. 19 out of 200 differentially expressed genes (9.5%), need to hit for a 500-gene term (3.1% of all genes) to be significant at (p=0.048). How many hits would be needed for a more specific 30-gene term?
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-5 hits - 2.5% of the differentially expressed genes vs 0.19% of all genes
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#### {-}