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 the 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 Work Accident

t-test

## 
##  Welch Two Sample t-test
## 
## data:  hr$satisfaction_level by hr$Work_accident
## t = -7.6329, df = 3097.1, p-value = 3.036e-14
## alternative hypothesis: true difference in means between group No and group Yes is not equal to 0
## 95 percent confidence interval:
##  -0.05215193 -0.03083450
## sample estimates:
##  mean in group No mean in group Yes 
##         0.6068332         0.6483264

Technical Interpretation

Reject the Ho, p-value < 0.01, there is a difference in means, where employees who had an accident had a higher satisfaction level than employees who didn’t

Non-Technical Interpretation

Employees that had an accident were more satisfied

Graph

3. 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 the Ho, p-value < 0.01, there is a difference in means, where employees who stayed had a higher satisfaction level than employees who left

Non-Technical Interpretation

Employees that stayed were more satisfied

Graph

4. Satisfaction Level vs Promotion

t-test

## 
##  Welch Two Sample t-test
## 
## data:  hr$satisfaction_level by hr$promotion_last_5years
## t = -3.6545, df = 337.3, p-value = 0.0002987
## alternative hypothesis: true difference in means between group No and group Yes is not equal to 0
## 95 percent confidence interval:
##  -0.06787297 -0.02037446
## sample estimates:
##  mean in group No mean in group Yes 
##         0.6118951         0.6560188

Technical Interpretation

Reject the Ho, p-value < 0.01, there is a difference in means, where employees who got a promotion in the last 5 years had a higher satisfaction level than employees who left

Non-Technical Interpretation

Employees that got promoted were more satisfied

Graph