diff --git a/DESCRIPTION b/DESCRIPTION
index 5946d4d..76a6dd5 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,7 +1,7 @@
 Type: Package
 Package: vibass
 Title: Valencia International Bayesian Summer School
-Version: 0.0.51
+Version: 0.0.52
 Authors@R: 
     c(person(given = "VIBASS7",
              role = c("aut")),
diff --git a/vignettes/p2count.Rmd b/vignettes/p2count.Rmd
index 5d6ee88..8aeea3a 100644
--- a/vignettes/p2count.Rmd
+++ b/vignettes/p2count.Rmd
@@ -194,8 +194,8 @@ setNames(nm = c(0.025, 0.975)) |> qgamma(748.8, 29.6) |> round(1)
 
 and the subsequent posterior probabilities that the mean number of letters _u_'s in a page of *A Game of Thrones* is between 24 and 26 letters are
 ```{r}
-round(pgamma(27, 643.5, 25) - pgamma(24, 643.5, 25), 3)
-round(pgamma(27, 748.8, 29.6) - pgamma(24, 748.8, 29.6), 3)
+round(pgamma(26, 643.5, 25) - pgamma(23, 643.5, 25), 3)
+round(pgamma(26, 748.8, 29.6) - pgamma(23, 748.8, 29.6), 3)
 ```
 
 
diff --git a/vignettes/p2normal.Rmd b/vignettes/p2normal.Rmd
index 9c6e48a..a769ffc 100644
--- a/vignettes/p2normal.Rmd
+++ b/vignettes/p2normal.Rmd
@@ -436,7 +436,7 @@ hmen <- data.frame(height = c(1.92, 1.82, 1.69, 1.75, 1.72, 1.71, 1.73, 1.69, 1.
 
 1. Construct a Bayesian inferential process for the mean of the height of the VIBASS men participants. Assume a non-informative prior scenario and a sampling model approximately Normal with
     
-    - Known variance $\sigma^2=0.1$. 
+    - Known standard deviation $\sigma=0.1$. 
     
     - Unknown variance.