diff --git a/yli/sig_tests.py b/yli/sig_tests.py
index b461cfc..fc3404c 100644
--- a/yli/sig_tests.py
+++ b/yli/sig_tests.py
@@ -217,7 +217,7 @@ class FTestResult:
 		
 		return 'F({:.0f}, {:.0f}) = {:.2f}; p {}'.format(self.dof1, self.dof2, self.statistic, fmt_p(self.pvalue, PValueStyle.RELATION))
 
-def anova_oneway(df, dep, ind, *, nan_policy='omit'):
+def anova_oneway(df, dep, ind, *, nan_policy='warn'):
 	"""
 	Perform one-way ANOVA
 	
@@ -269,7 +269,7 @@ def anova_oneway(df, dep, ind, *, nan_policy='omit'):
 
 class MannWhitneyResult:
 	"""
-	Result of a Mann-Whitney *U* test
+	Result of a Mann–Whitney *U* test
 	
 	See :func:`yli.mannwhitney`.
 	"""
@@ -395,7 +395,7 @@ class BrunnerMunzelResult:
 
 def mannwhitney(df, dep, ind, *, nan_policy='warn', brunnermunzel=True, use_continuity=False, alternative='two-sided', method='auto'):
 	"""
-	Perform a Mann-Whitney *U* test
+	Perform a Mann–Whitney *U* test
 	
 	By default, this function performs a Brunner–Munzel test if the Mann–Whitney test is significant.
 	If the Mann–Whitney test is significant but the Brunner–Munzel test is not, a warning is raised.