diff --git a/12-successful-survey-data-analysis.Rmd b/12-successful-survey-data-analysis.Rmd
index ab09764..88cc4e2 100644
--- a/12-successful-survey-data-analysis.Rmd
+++ b/12-successful-survey-data-analysis.Rmd
@@ -100,7 +100,7 @@ example_srvy %>%
   summarize(n = n())
 ```
 
-The data show that males comprise 1 out of 10, or 10%, of the sample. Generally, we assume something close to a 50/50 split between male and female respondents in a population. The sizable female proportion could indicate either a unique sample or a potential error in the data. If we review the survey documentation and see this was a deliberate part of the design, we can continue our analysis using the appropriate methods. If this was not an intentional choice by the researchers, the results alert us that something may be incorrect in the data or our code, and we can verify if there’s an issue by comparing the results with the weighted means.
+The data show that females comprise 9 out of 10, or 90%, of the sample. Generally, we assume something close to a 50/50 split between male and female respondents in a population. The sizable female proportion could indicate either a unique sample or a potential error in the data. If we review the survey documentation and see this was a deliberate part of the design, we can continue our analysis using the appropriate methods. If this was not an intentional choice by the researchers, the results alert us that something may be incorrect in the data or our code, and we can verify if there’s an issue by comparing the results with the weighted means.
 
 ### Graphical review