1. t-test of Average Monthly Hours by Left

t-test

## 
##  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             207.4192

Technical Interpretation

We reject the Ho, p-value < 0.01, where the average monthly hours for employees that left is greater

Non-Technical Interpretation

Employees who worked more hours are more likely to leave

Graph

2. t-test of Time Spent at Company by Left

t-test

## 
##  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             3.876505

Technical Interpretation

We reject the Ho, p-value < 0.01, where the time spent at the company for employees that left is greater

Non-Technical Interpretation

Employees who worked more hours are more likely to leave

Graph

3. t-test of Satisfaction Level by Left

t-test

## 
##  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            0.4400980

Techincal Interpretation

We reject the Ho, p-value < 0.01, where the satisfaction level for employees that left is lower

Non-Techincal Interpretation

Employees who have lower satisfaction levels are more likely to leave

Graph

4. t-test of Number of Porjects by Left

t-test

## 
##  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             3.855503

Techincal Interpretation

We accept the Ho, p-value > 0.01, where the number of projects does not
have an effect on for employees that left

Non-Technical Interpretation

Employees who received projects did not have an effect on their current status

Graph