Question 1: Salary

## 
##  Pearson's Chi-squared test
## 
## data:  hr$left and hr$salary
## X-squared = 381.23, df = 2, p-value < 2.2e-16

Analysis:

p-value interpretation: The p-value is very small (p < 2.2e-16) and less than alpha (0.01), indicating a significant association between salary level and employee turnover.
Chi Square Test interpretation: There is a dependence between salary level and employee turnover.
non-technical interpretation: Lower-paid employees are much more likely to leave the company than higher-paid employees.

Question 2: Promotion in the Last Five Years

## 
##  Pearson's Chi-squared test with Yates' continuity correction
## 
## data:  hr$left and hr$promotion_last_5years
## X-squared = 56.262, df = 1, p-value = 6.344e-14

Analysis:

p-value interpretation:The p-value is very small (p < 6.344e-14) and less than alpha (0.01), indicating a significant association between recent promotions and employee turnover.
Chi Square Test interpretation: There is a dependence between receiving a promotion in the last 5 years and employee turnover.
non-technical interpretation: Employees who received promotions in the last 5 years are significantly less likely to leave the company.

Question 3: Work Accident

## 
##  Pearson's Chi-squared test with Yates' continuity correction
## 
## data:  hr$left and hr$Work_accident
## X-squared = 357.56, df = 1, p-value < 2.2e-16

Analysis:

p-value interpretation: The p-value is very small (p < 2.2e-16) and less than alpha (0.01), indicating a significant association between work accidents and employee turnover.
Chi Square Test interpretation: There is a dependence between experiencing a work accident and employee turnover.
non-technical interpretation: Employees who experienced work accidents are less likely to leave the company than those who didn’t.

Question 4: Department

## 
##  Pearson's Chi-squared test
## 
## data:  hr$left and hr$Department
## X-squared = 86.825, df = 9, p-value = 7.042e-15

Analysis:

p-value interpretation: The p-value is very small (p < 7.042e-15) and less than alpha (0.01), indicating significant differences in turnover rates across departments.
Chi Square Test interpretation: There is a dependence between department and employee turnover.
non-technical interpretation: Management and RandD are less likely to leave the company.