dataset = read.csv("Data - Deans Dilemma.csv")
placed <- dataset[which(dataset$Placement == 'Placed'),]
aggregate(Salary~Gender,data=placed,FUN = mean)
## Gender Salary
## 1 F 253068.0
## 2 M 284241.9
t.test(Salary~Gender,data=placed)
##
## Welch Two Sample t-test
##
## data: Salary by Gender
## t = -3.0757, df = 243.03, p-value = 0.00234
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -51138.42 -11209.22
## sample estimates:
## mean in group F mean in group M
## 253068.0 284241.9