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