Chi-Square Test 1: Salary vs Employee Attrition

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

p-value interpretation:
The p-value is very small, meaning the probability that this relationship happened by chance is very low.

chi-square test interpretation:
There is a significant relationship between salary level and whether an employee leaves the company.

non-technical interpretation:
Employees with lower salaries are more likely to leave the company.

Chi-Square Test 2: Department vs Employee Attrition

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

p-value interpretation:
The p-value is very small, meaning the probability that this relationship happened by chance is very low.

chi-square test interpretation:
There is a significant relationship between department and whether an employee leaves the company.

non-technical interpretation:
Some departments have higher employee turnover than others.

Chi-Square Test 3: Promotion vs Employee Attrition

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

p-value interpretation:
The p-value is very small, meaning the probability that this relationship happened by chance is very low.

chi-square test interpretation:
There is a significant relationship between promotion history and whether an employee leaves the company.

non-technical interpretation:
Employees who were not promoted are more likely to leave the company.

Chi-Square Test 4: Work Accident vs Employee Attrition

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

p-value interpretation:
The p-value is very small, meaning the probability that this relationship happened by chance is very low.

chi-square test interpretation:
There is a significant relationship between work accidents and whether an employee leaves the company.

non-technical interpretation:
Employees who had a work accident are less likely to leave the company.