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## Pearson's Chi-squared test
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## data: table1
## X-squared = 381.23, df = 2, p-value < 2.2e-16The p-value is less than 0.01. Indicating a relationship between employee attrition and salary.
Employees with lower salaries are more likely to leave the company compared to those with higher salaries.
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## Pearson's Chi-squared test with Yates' continuity correction
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## data: table2
## X-squared = 56.262, df = 1, p-value = 6.344e-14The p-value is less than 0.01. Indicating a relationship between employee attrition and whether the employee was promoted in the last 5 years.
Employees who were not promoted in the last 5 years are more likely to leave the company.
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## Pearson's Chi-squared test with Yates' continuity correction
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## data: table3
## X-squared = 357.56, df = 1, p-value < 2.2e-16The p-value is less than 0.01. Indicating a relationship between employee attrition and whether the employee had a work accident.
Employees who have not experienced a work accident are more likely to leave the company.
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## Pearson's Chi-squared test
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## data: table4
## X-squared = 86.825, df = 9, p-value = 7.042e-15The p-value is less than 0.01. Indicating a relationship between the department and employee attrition.
Employees in some departments like sales and technical are more likely to leave compared to others like HR or management.