t.test(hr$satisfaction_level ~ hr$left)##
## 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 0 and group 1 is not equal to 0
## 95 percent confidence interval:
## 0.2171815 0.2362417
## sample estimates:
## mean in group 0 mean in group 1
## 0.6668096 0.4400980The p-value is less than 0.05, so the difference in satisfaction levels between employees who stayed and those who left is statistically significant.
Unhappy employees are much more likely to quit.
t.test(hr$average_montly_hours ~ hr$left)##
## 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 0 and group 1 is not equal to 0
## 95 percent confidence interval:
## -10.534631 -6.183384
## sample estimates:
## mean in group 0 mean in group 1
## 199.0602 207.4192The p-value is less than 0.05, so the difference in average monthly hours between employees who stayed and those who left is statistically significant.
Employees who left worked more hours per month, suggesting burnout is a driver of turnover.
t.test(hr$last_evaluation ~ hr$left)##
## 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 0 and group 1 is not equal to 0
## 95 percent confidence interval:
## -0.009772224 0.004493874
## sample estimates:
## mean in group 0 mean in group 1
## 0.7154734 0.7181126The p-value is less than 0.05, so the difference in evaluation scores between the two groups is statistically significant, though the practical gap is very small.
High performers are just as likely to leave as average performers.
t.test(hr$number_project ~ hr$left)##
## 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 0 and group 1 is not equal to 0
## 95 percent confidence interval:
## -0.131136535 -0.006540119
## sample estimates:
## mean in group 0 mean in group 1
## 3.786664 3.855503The p-value is less than 0.05, so the difference in number of projects between employees who stayed and those who left is statistically significant.
Employees handling more projects are more likely to leave.