Question 1: Satisfaction Level
##
## Welch Two Sample t-test
##
## data: satisfaction_level by left
## t = 46.636, df = 5167, p-value < 2.2e-16
## alternative hypothesis: true difference in means between group 0 and group 1 is not equal to 0
## 95 percent confidence interval:
## 0.2171815 0.2362417
## sample estimates:
## mean in group 0 mean in group 1
## 0.6668096 0.4400980
Analysis:
p-value interpretation: The p-value is very small, and less then
alpha (0.01) indicating a significant difference in satisfaction levels
between employees who left and those who stayed.
correlation estimate interpretation: The difference in mean
satisfaction level between employees who left and those who stayed is
significant, with employees who left having a lower average satisfaction
level.
non-technical interpretation: Employees who left the company were
generally less satisfied with their jobs compared to those who
stayed.
Question 2: Last Evaluation Score
##
## Welch Two Sample t-test
##
## data: last_evaluation by left
## t = -0.72534, df = 5154.9, p-value = 0.4683
## alternative hypothesis: true difference in means between group 0 and group 1 is not equal to 0
## 95 percent confidence interval:
## -0.009772224 0.004493874
## sample estimates:
## mean in group 0 mean in group 1
## 0.7154734 0.7181126
Analysis:
p-value interpretation: The p-value greater then (0.01), meaning
that there is no correlation between last evaluation and
atttrition.
correlation estimate interpretation: The estimate is not used due to
that the Ho is not rejected.
non-technical interpretation: Employees Evaluation has no Effect on
Attrition.
Question 3: Average Monthly Hours
##
## Welch Two Sample t-test
##
## data: average_montly_hours by left
## t = -7.5323, df = 4875.1, p-value = 5.907e-14
## alternative hypothesis: true difference in means between group 0 and group 1 is not equal to 0
## 95 percent confidence interval:
## -10.534631 -6.183384
## sample estimates:
## mean in group 0 mean in group 1
## 199.0602 207.4192
Analysis:
p-value interpretation: The p-value is very small, and less then
alpha (0.01) indicating a significant difference in average monthly
hours worked between employees who left and those who stayed.
correlation estimate interpretation: Employees who left the company
worked significantly more hours on average than those who stayed.
non-technical interpretation: Employees who worked longer hours were
more likely to leave the company.
Question 4: Number of Projects
##
## Welch Two Sample t-test
##
## data: number_project by left
## t = -2.1663, df = 4236.5, p-value = 0.03034
## alternative hypothesis: true difference in means between group 0 and group 1 is not equal to 0
## 95 percent confidence interval:
## -0.131136535 -0.006540119
## sample estimates:
## mean in group 0 mean in group 1
## 3.786664 3.855503
Analysis:
p-value interpretation: The p-value greater then (0.01), meaning
that there is no correlation between number of projects and
atttrition.
correlation estimate interpretation: The estimate is not used due to
that the Ho is not rejected.
non-technical interpretation: Employees Who Are Assigned More
Projects has no Effect on Attrition.