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placed <- dean.df[ which(dean.df$Placement_B=='1'), ]Analysis for list of Questions 1-6
mytable<- aggregate(placed$Salary, by= list(placed$Gender), FUN= mean)
mytable## Group.1 x
## 1 F 253068.0
## 2 M 284241.9The average salary of male MBAs who were placed is 2,84,241.9
the average salary of female MBAs who were placed is 2,53,068
4)A t-test to test the following hypothesis: “The average salary of the male MBAs is higher than the average salary of female MBAs.”
attach(placed)
t.test(Salary~Gender)##
## 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 284241.9The p value is .00234
Based on the above output of t test, we reject the hypothesis that average salary of males and females are same( p<.01)