## 
##  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 Left and group Stayed is not equal to 0
## 99.9 percent confidence interval:
##  -0.2427168 -0.2107063
## sample estimates:
##   mean in group Left mean in group Stayed 
##            0.4400980            0.6668096

1: T-Test between Satisfaction and left

We retain the Ho if the p-value is > alpha (0.001) therefore we reject the Ho, there is a difference in satisfaction level between employees that left vs stayed

Employees that stayed are, on average, more satisfied

## 
##  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 Left and group Stayed is not equal to 0
## 99.9 percent confidence interval:
##   4.705107 12.012907
## sample estimates:
##   mean in group Left mean in group Stayed 
##             207.4192             199.0602

2: T-Test between Average Monthly Hours and left

We retain the Ho if the p-value is > alpha (0.001) therefore we reject the Ho, there is a difference in average monthly hours worked between employees that left vs stayed

Employees that stayed are, on average, worked less

## 
##  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 Left and group Stayed is not equal to 0
## 99.9 percent confidence interval:
##  -0.009340354  0.014618703
## sample estimates:
##   mean in group Left mean in group Stayed 
##            0.7181126            0.7154734

3: T-Test between Last Evaluation and left

The p-value is > than our alpha (0.001) therefore we accept Ho and there is no difference in last evaluation scores and employees that left vs. stayed

There is no significant correlation between employees leaving or staying based on their last evaluation score

## 
##  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 Left and group Stayed is not equal to 0
## 99.9 percent confidence interval:
##  -0.03579547  0.17347213
## sample estimates:
##   mean in group Left mean in group Stayed 
##             3.855503             3.786664

4: T-Test between Number of Projects and left

The p-value is > than our alpha (0.001) therefore we accept Ho and there is no difference in number of projects between employees that left vs. stayed

There is no significant correlation between employees leaving or staying based on how many projects they had