1. T-test of Average Monthly Hours by Left

1. Correlation

## 
##  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

2. Techincal Interpretation

We reject the Ho, p-value < 0.01, and conclude that there is a difference in average monthly hours between employees that stayed vs left

3. Non-Techincal Interpretation

Employees that worked more hours left

4. Graph

2. T-test of Satisfaction Levels by Left

1. Correlation

## 
##  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

2. Techincal Interpretation

We reject the Ho, p-value < 0.01, and conclude that there is a difference in satisfaction levels between employees that stayed vs left

3. Non-Techincal Interpretation

Employees that had lower satisfaction levels left

4. Graph

3. T-test of Last Evaluation by Left

1. Correlation

## 
##  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

2. Techincal Interpretation

We accept the Ho, p-value > 0.01, and conclude that there is a no correlation between the last evaluations of employees that stayed vs left

3. Non-Techincal Interpretation

Employees that left had almost the same evaluations of employees who stayed

4. Graph

4. T-test of Average Monthly Hours by Left

1. Correlation

## 
##  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

2. Techincal Interpretation

We reject the Ho, p-value < 0.01, and conclude that there is a difference in time spent at a company between employees that stayed vs left

3. Non-Techincal Interpretation

Employees that left, had spent slightly more time at the company

4. Graph