##
## Pearson's Chi-squared test
##
## data: hr$Department and hr$left
## X-squared = 86.825, df = 9, p-value = 7.042e-15The p-value obtained from the Chi-squared test is extremely small (\(7.042e-15\)). This extremely low p-value indicates strong statistical evidence against the null hypothesis, which assumes no association between the employee’s department and whether they left the company.
A very small p-value suggests that the observed association is highly unlikely to have occurred by chance alone, indicating a significant relationship between department and attrition.
The department an employee works in significantly influences their decision to leave the company.
There are notable differences in attrition rates across various departments, suggesting that some departments may have factors contributing to higher employee turnover.
##
## Pearson's Chi-squared test
##
## data: hr$salary and hr$left
## X-squared = 381.23, df = 2, p-value < 2.2e-16The p-value (\(2.2e-16\)) is extremely small, indicating a very strong statistical significance. This means there is a very low probability that the observed relationship between salary and attrition occurred by chance.
We can conclude with high confidence, based on this small p value, that salary and attrition are not independent; they are significantly associated.
An employee’s salary level is a strong predictor of whether they will leave the company.
Employees with lower salaries are significantly more likely to leave compared to those with higher salaries.
##
## 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-16The p-value (\(2.2e-16\)) is extremely low, indicating a very strong statistical significance. This suggests that the relationship between work accidents and employee attrition is highly unlikely to be due to random chance.
The results strongly support the conclusion, given the small p value, that work accidents are associated with higher employee attrition.
The p-value (\(2.2e-16\)) is extremely low, indicating a very strong statistical significance. This suggests that the relationship between work accidents and employee attrition is highly unlikely to be due to random chance.
The results strongly support the conclusion, given the small p value, that work accidents are associated with higher 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-14The p-value (\(6.344e-14\)) is very small, indicating a strong statistical association between whether an employee received a promotion in the last 5 years and their likelihood of leaving.
This small p-value suggests that the relationship is highly significant and not likely due to random variation.
Employees who have not received promotions in the past 5 years are significantly more likely to leave the company.
A lack of recent promotions is a strong indicator of potential employee attrition, suggesting that career advancement is a significant factor in employee retention.