##
## 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
Reject the Ho, p value < 0.01, there is a difference in means, where employees who left had more average monthly hours
Employees that left worked more hours.
##
## 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 0 and group 1 is not equal to 0
## 95 percent confidence interval:
## -0.06787297 -0.02037446
## sample estimates:
## mean in group 0 mean in group 1
## 0.6118951 0.6560188
Reject the Ho, p-value < 0.01, there is a difference in means, where if employees got promoted within the last 5 years, they are slightly more satisfied.
Employees that were promoted within the last 5 years, were slightly more satisfied.
##
## Welch Two Sample t-test
##
## data: hr$time_spend_company by hr$Work_accident
## t = -0.23359, df = 2738.4, p-value = 0.8153
## alternative hypothesis: true difference in means between group No and group Yes is not equal to 0
## 95 percent confidence interval:
## -0.08269677 0.06509122
## sample estimates:
## mean in group No mean in group Yes
## 3.496960 3.505763
We maintain the Ho, the p value is > 0.01, there is no difference in means, showing work accidents occurrence do not change with the time an employee spends at the company.
The time an employee spends at the company does not change if they have a work accident.
##
## 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
## 95 percent confidence interval:
## 0.2171815 0.2362417
## sample estimates:
## mean in group Left mean in group Stayed
## 0.6668096 0.4400980
We reject Ho because the p-value is less than 0.01. This indicates that there is a statistically significant difference in satisfaction levels between employees who left and those who did not.
Employees who Left the Company are more Satisfied