titanic.df<-read.csv(paste("Titanic Data.csv", sep=""))
View(titanic.df)
Use R to create a table showing the average age of the survivors and the average age of the people who died.
aggregate(titanic.df$Age~titanic.df$Survived, FUN = mean)
## titanic.df$Survived titanic.df$Age
## 1 0 30.41530
## 2 1 28.42382
Average age of survivors = 28.42382
Average age of people who died = 30.41530
Use R to run a t-test to test the following hypothesis: H1: The Titanic survivors were younger than the passengers who died.
t.test(titanic.df$Age~titanic.df$Survived)
##
## Welch Two Sample t-test
##
## data: titanic.df$Age by titanic.df$Survived
## t = 2.1816, df = 667.56, p-value = 0.02949
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 0.1990628 3.7838912
## sample estimates:
## mean in group 0 mean in group 1
## 30.41530 28.42382
Since p-value < 0.05, we would reject our null hypothesis.i.e. it is true that Titanic survivors were younger than the passengers who died.