From the course: AI and Data-Driven Decision-Making for HR

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Summary and Cox regression model to predict new hire turnover

Summary and Cox regression model to predict new hire turnover

From the course: AI and Data-Driven Decision-Making for HR

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Summary and Cox regression model to predict new hire turnover

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This entire chapter was designed to deepen your understanding of how data analytics can be used to drive change. We introduce powerful tools to help you think outside the box and identify the root causes of critical HR problems. We began by discussing the chi-square test, a tool used to determine if there's a relationship between two categories. For example, you might want to know if employee satisfaction is related to their work-from-home percentage. The chi-square test helps you determine if the differences observed are significant or just random. Next, we explored the t-test, which is helpful when comparing one numerical variable against another. For instance, you're comparing the satisfaction levels between employees promoted internally versus externally. The t-test can reveal if the differences are meaningful or just caused by chance. Finally, we covered ANOVA, Analysis of Variance. This test is used when you want to compare a numerical variable across more than two groups. For…

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