##
## Welch Two Sample t-test
##
## data: hr1$average_montly_hours by hr1$Employee_Status
## t = 7.5323, df = 4875.1, p-value = 5.907e-14
## alternative hypothesis: true difference in means between group Left and group Stayed is not equal to 0
## 95 percent confidence interval:
## 6.183384 10.534631
## sample estimates:
## mean in group Left mean in group Stayed
## 207.4192 199.0602
- There is a significant difference between means, where employees
that left work at least 6 hours more.
- Descriptive: Employees that left, on average, work more hours, at
least 3% more.
- Prescriptive: To reduce employee attrition, average monthly hours
can be reduced by 3% for those that work longer hours.
##
## Welch Two Sample t-test
##
## data: hr1$last_evaluation by hr1$Employee_Status
## t = 0.72534, df = 5154.9, p-value = 0.4683
## alternative hypothesis: true difference in means between group Left and group Stayed is not equal to 0
## 95 percent confidence interval:
## -0.004493874 0.009772224
## sample estimates:
## mean in group Left mean in group Stayed
## 0.7181126 0.7154734
- There is not a significant difference between the means, where the
employees that left got at least -0.0045 evaluation less than an
employee that stayed.
- Descriptive: Employees that left, on average, had little to no
difference in evaluations for the employees that stayed.
- Prescriptive: You do not need to do anything different with employee
evaluation, because that would do nothing for the company to make people
stay.
##
## Welch Two Sample t-test
##
## data: hr1$time_spend_company by hr1$Employee_Status
## t = 22.631, df = 9625.6, p-value < 2.2e-16
## alternative hypothesis: true difference in means between group Left and group Stayed is not equal to 0
## 95 percent confidence interval:
## 0.4534706 0.5394767
## sample estimates:
## mean in group Left mean in group Stayed
## 3.876505 3.380032
- There is a significant difference between the means, where the
employees that left has at least 0.45 more time spent at company
- Descriptive: Employees that left, on average, spent with the company
at least 13% more time.
- Prescriptive: To reduce employees leaving, having more benefits to
staying longer may incentivise things.
##
## Welch Two Sample t-test
##
## data: hr1$satisfaction_level by hr1$Employee_Status
## t = -46.636, df = 5167, p-value < 2.2e-16
## alternative hypothesis: true difference in means between group Left and group Stayed is not equal to 0
## 95 percent confidence interval:
## -0.2362417 -0.2171815
## sample estimates:
## mean in group Left mean in group Stayed
## 0.4400980 0.6668096
- There is a significant difference between the means where the
employees that left have at least 0.23 less satisfaction than employees
who stay.
- Descriptive: Employees that left, on average, are 34% less satisfied
with the company.
- Prescriptive: To shorten the gap between employees who leave
vs. employees who stay based on satisfaction, make sure all employees
are well taken care of and get adequate assistance in needs and
wants.