1. Average Monthly Hours vs 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

Reject Ho, p-value < 0.01, there is a difference in means, where employees who left had more average monthly hours

Non-Technical Interpretation

Employees that left worked more hours

Graph

2. Satisfaction Level vs 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

Technical Interpretation

Reject Ho, P-value < 0.01. There is a statistically significant difference in mean satisfaction levels between employees who left and those who stayed.

Non-Technical Interpretation

Employees who left the company were, on average, much less satisfied with their jobs than those who stayed.

Graph

3. Last Evaluation Level vs Left

t-test

## 
##  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            0.7181126

Technical Interpretation

Reject Ho, P-value < 0.01. There is a statistically significant difference in mean evaluation scores.

Non-Technical Interpretation

Employees who left the company had slightly better performance evaluations than those who stayed.

Graph

4. Employees Who Left Worked on More Projects

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

Technical Interpretation

Reject Ho, P-value < 0.01. There is a significant difference in the mean number of projects.

Non-Technical Interpretation

Employees who left were assigned slightly more projects on average than those who stayed.

Graph