##
## 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 are less satisfied are more likely to leave
##
## Welch Two Sample t-test
##
## data: hr$time_spend_company by hr$left
## t = -22.631, df = 9625.6, 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:
## -0.5394767 -0.4534706
## sample estimates:
## mean in group Stayed mean in group Left
## 3.380032 3.876505We reject the Ho, p-value < 0.01, where the time spent at the company for employees that left is greater
Employees who’ve been with the company longer are more likely to leave — possibly due to burnout, stagnation, or lack of promotion.
##
## 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 fail to reject the null hypothesis since the p-value is 0.4683, which is much greater than 0.01. This means there is no statistically significant difference in last evaluation scores between employees who left and those who stayed
Performance evaluations do not appear to influence whether an employee leaves the company. In other words, high- or low-performing employees are equally likely to stay or leave