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TASK 4a TASK 4b

titanic.df <- read.csv(paste("Titanic Data.csv", sep=""))
titanic.df$Survived=factor(titanic.df$Survived, levels = c(0,1), labels = c("Not survived","Survived"))
aggregate(titanic.df$Age, by=list(titanic.df$Survived),mean)
##        Group.1        x
## 1 Not survived 30.41530
## 2     Survived 28.42382

TASK 4c

t.test(titanic.df$Age~titanic.df$Survived, var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  titanic.df$Age by titanic.df$Survived
## t = 2.2302, df = 887, p-value = 0.02599
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  0.238890 3.744064
## sample estimates:
## mean in group Not survived     mean in group Survived 
##                   30.41530                   28.42382

Since the P vavlue is higher than 0.05, the hypotheises is true.