## 
##  Welch Two Sample t-test
## 
## data:  satisfaction_level and left
## t = 93.061, df = 24156, p-value < 2.2e-16
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  0.3668579 0.3826441
## sample estimates:
## mean of x mean of y 
## 0.6128335 0.2380825

p-value interpretation: The p-value is very small, therefore the difference between means of satisfaction level by left is significant.

t-test interpretation: The difference in mean satisfaction level between those who left and those who didn’t is significant, where the difference in satisfaction level is at least 0.36.

non-technical interpretation: People who left are less satisfied

## 
##  Welch Two Sample t-test
## 
## data:  average_montly_hours and left
## t = 492.41, df = 15000, p-value < 2.2e-16
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  200.0129 201.6116
## sample estimates:
##   mean of x   mean of y 
## 201.0503367   0.2380825

p-value interpretation: The p-value is very small, therefore the difference between means of average monthly hours by left is significant.

t-test interpretation: The difference in mean average monthly hours between those who left and those who didn’t is significant, where the difference in average monthly hours is at least 200.

non-technical interpretation: People who left have less average monthly hours

## 
##  Welch Two Sample t-test
## 
## data:  number_project and left
## t = 334.79, df = 18529, p-value < 2.2e-16
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  3.544099 3.585843
## sample estimates:
## mean of x mean of y 
## 3.8030535 0.2380825

p-value interpretation: The p-value is very small, therefore the difference between means of number project by left is significant.

t-test interpretation: The difference in mean number project between those who left and those who didn’t is significant, where the difference in average monthly hours is at least 3.5

non-technical interpretation: People who left have less number project

## 
##  Welch Two Sample t-test
## 
## data:  time_spend_company and left
## t = 262.51, df = 17532, p-value < 2.2e-16
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  3.235808 3.284494
## sample estimates:
## mean of x mean of y 
## 3.4982332 0.2380825

p-value interpretation: The p-value is very small, therefore the difference between means of time spend company by left is significant.

t-test interpretation: The difference in mean time spend company between those who left and those who didn’t is significant, where the difference in average monthly hours is at least 3.5

non-technical interpretation: People who left have less time spend company