1. T-Test of Satisfaction Level vs Left
## 
##  Welch Two Sample t-test
## 
## data:  hr1$satisfaction_level by hr1$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

Technical Interpretation

We reject the Ho as the p-value < alpha (0.001). Therefore we reject the Ho, there is a difference in satisfaction level between employees that left vs. stayed.

Non - Technical Interpretation

Employees that stayed are, on average, more satisfied.

2. T-Test of Last Evaluation vs Left
## 
##  Welch Two Sample t-test
## 
## data:  hr1$last_evaluation by hr1$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

Technical Interpretation

The p-value is very small (p < 0.001), so we reject the null hypothesis.There is a statistically significant difference in last evaluation scores between employees who left and those who stayed.

Non - Technical Interpretation

Employees who stayed had, on average, slightly higher evaluation scores than those who left.

3. T - Test Average Monthly Hours vs Left
## 
##  Welch Two Sample t-test
## 
## data:  hr1$average_montly_hours by hr1$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

Technical Interpretation

The p-value is very small (p < 0.001), indicating we reject the null hypothesis. There is a significant difference in average monthly hours between employees who left and those who stayed.

Non - Technical Interpretation

Employees who left tended to work more hours per month on average than those who stayed.

4. T - Test Number of Projects vs Left
## 
##  Welch Two Sample t-test
## 
## data:  hr1$number_project by hr1$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

Technical Interpretation

The p-value is large (p > 0.001), so we accept the null hypothesis. Employees who left and those who stayed showed no significant difference in the number of projects.

Non - Technical Interpretation

The Number of Projects Had No Affect on The Number of People Who Left or Stayed.