1. T-test of Average Monthly Hours by Left
1.Correlation
##
## 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
2. Techonal Interpretation
We reject the Ho, p-value < 0.01, and conclude that is there is a
difference in
average monthly hours between employees that stayed vs left
3. Non-Techincal Interpretation
Employees that worked more hours left
2. T-test of Satistifaction Level by Left
1. Correlation
##
## 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
2. Technical Interpretation
We reject the Ho, p-value < 0.01, and conclude that is there is a
difference in
the Satisfaction Level between employees that stayed vs left
3. Non-Technical Interpretation
Employees that left, on average had a lower satisfaction level
than those you stayed
3. T-test of Last Evaluation by Left
1. Correlation
##
## Welch Two Sample t-test
##
## data: hr$last_evaluation by hr$left
## t = -0.72534, df = 5154.9, p-value = 0.4683
## alternative hypothesis: true difference in means between group Stayed and group Left is not equal to 0
## 95 percent confidence interval:
## -0.009772224 0.004493874
## sample estimates:
## mean in group Stayed mean in group Left
## 0.7154734 0.7181126
2. Technical Evaluation
The P-value is 0.4683, which is a lot higher than our threshold of
0.01.
This means that is we reject the Null Hypothesis, and say there
is
no significant statisical difference between employees that stayed
and left
3. Non-technical Evaluation
There is no significant difference between employees that stayed and
left,
and their Last Evaluation.
4. T-test of Number of Years at Company by Left
1. Correlation
##
## Welch Two Sample t-test
##
## data: hr$time_spend_company by hr$left
## t = -22.631, df = 9625.6, 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:
## -0.5394767 -0.4534706
## sample estimates:
## mean in group Stayed mean in group Left
## 3.380032 3.876505
2. Technical Interpretation
We reject the Ho, p-value < 0.01, and conclude that is there is a
difference in
the Time spent at the Company between employees that stayed vs
left
3. Non-techincal Interpretation
Employees that have been at the company longer tend to leave more
frequently