Question 1

## 
##  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.

Employees that left, on average, work more hours, at least 3% more.

To reduce employee attrition, average monthly house can be reduced by 3%, for those that work longer hours.

Question 2

## 
##  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 means, where employees that left work at least 6 hours more.

Employees that left, on average, had a lower satisfaction level,

Employees that stayed at the company had a higher satisfaction than those who left.

Question 3

## 
##  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 no significant difference between the means of the last evaluation scores for employees who left versus those who stayed # Employee status of people that left have a slightly higher last evaluation.

Employees who left had an average last evaluation score of 0.7181, while those who stayed had an average score of 0.7155

Last evaluation scores are not a strong differentiation between the two groups

#Question 4

## 
##  Welch Two Sample t-test
## 
## data:  hr1$number_project by hr1$Employee_Status
## 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
## 95 percent confidence interval:
##  0.006540119 0.131136535
## sample estimates:
##   mean in group Left mean in group Stayed 
##             3.855503             3.786664

Significant difference between the means of the number of projects handled by employees who left versus those who stayed, with employees who left handling slightly more projects.

Employees who left, on average, worked on 1.8% more projects than those who stayed

Employees that left works on more projects.