Fixed more typos

docs/presentation.Rmd

@@ -163,7 +163,7 @@ $\frac{P(D|H_1)}{P(D|H_0)}$
 \normalsize 
 
 \pause
-whereas $BF_{01}$ is evidence for $H_0$ over $H_1$
+* Whereas $BF_{01}$ is evidence for $H_0$ over $H_1$
 
 \LARGE 
 \begin{center}
@@ -280,10 +280,10 @@ $\frac{P(D|H_0)}{P(D|H_1)}$
 ## Model selection
 
 \Large
-If $BF_{10} = \frac{p(D|H_1)}{p(D|H_0)}$ and $BF_{20} = \frac{p(D|H_2)}{p(D|H_0)}$, 
+If $BF_{10} = \frac{P(D|H_1)}{P(D|H_0)}$ and $BF_{20} = \frac{P(D|H_2)}{P(D|H_0)}$, 
 
 \pause
-then $BF_{12} = \frac{p(D|H_1)}{p(D|H_2)} = \frac{BF_{10}}{BF_{20}}$.
+then $BF_{12} = \frac{P(D|H_1)}{P(D|H_2)} = \frac{BF_{10}}{BF_{20}}$.
 
 \pause
 \normalsize
@@ -319,6 +319,7 @@ $BF_{interaction} = \frac{16}{14} = 1.14$
 * You can calculate Bayes factors from existing analyses (e.g., if the full data are not available) with test statistics and sample sizes
   - Binomial tests
   - T-tests
+  - One-way ANOVAs
   - Correlations
   - Regressions
 
@@ -333,7 +334,7 @@ $BF_{interaction} = \frac{16}{14} = 1.14$
 * Methods
   - Define Bayes factor (I cite Wagenmakers, 2007)
   - Describe levels of evidence (I cite Wagenmakers et al., 2018)
-  - Describe priors/assumptions
+  - Describe priors/assumptions (I cite journal articles cited by packages)
 \pause
 * Results
   - Clarify direction (alternative/null)