##
## Welch Two Sample t-test
##
## data: hr$average_montly_hours by hr$left
## t = -7.5323, df = 4875.1, p-value = 5.907e-14
## alternative hypothesis: true difference in means between group Stayed and group Left is not equal to 0
## 95 percent confidence interval:
## -10.534631 -6.183384
## sample estimates:
## mean in group Stayed mean in group Left
## 199.0602 207.4192We reject the Ho, p-value < 0.01, where the average monthly hours for employees that left is greater
Employees that work more hours are more likely to leave
##
## Welch Two Sample t-test
##
## data: hr$satisfaction_level by hr$left
## t = 46.636, df = 5167, p-value < 2.2e-16
## alternative hypothesis: true difference in means between group Stayed and group Left is not equal to 0
## 95 percent confidence interval:
## 0.2171815 0.2362417
## sample estimates:
## mean in group Stayed mean in group Left
## 0.6668096 0.4400980We reject the Ho, p-value < 0.01, where the satisfaction level for employees that left is greater
Employees that have a higher satisfaction are more likely to stay
##
## Welch Two Sample t-test
##
## data: hr$last_evaluation by hr$left
## t = -0.72534, df = 5154.9, p-value = 0.4683
## alternative hypothesis: true difference in means between group Stayed and group Left is not equal to 0
## 95 percent confidence interval:
## -0.009772224 0.004493874
## sample estimates:
## mean in group Stayed mean in group Left
## 0.7154734 0.7181126We accept the Ho, p-value > 0.01, where the evaluation for employees that left is greater
Employees that have a greater evaluation score are more likely to leave
##
## Welch Two Sample t-test
##
## data: hr$number_project by hr$left
## t = -2.1663, df = 4236.5, p-value = 0.03034
## alternative hypothesis: true difference in means between group Stayed and group Left is not equal to 0
## 95 percent confidence interval:
## -0.131136535 -0.006540119
## sample estimates:
## mean in group Stayed mean in group Left
## 3.786664 3.855503We accept the Ho, p-value > 0.01, where the number of projects for employees that left is greater
Employees that have more projects are more likely to leave