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

Unlock this course with a free trial

Join today to access over 24,600 courses taught by industry experts.

Use the t-test to understand differences between two groups

Use the t-test to understand differences between two groups

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

Start my 1-month free trial Buy for my team

Use the t-test to understand differences between two groups

“

The chi-square test and t-test are both statistical tools used to determine the significance of observed data, but they serve different purposes and are used in different situations. The chi-square test evaluates whether the differences between two groups were random or not, using non-numeric factors like comparing gender to job satisfaction levels. A t-test is different. It's used to determine if there is a significant difference between the means of two groups using numeric data versus non-numeric data to make the calculations. As an example, you're being asked to determine if the salary levels between two different groups of engineers is statistically meaningful, or just occurring by chance. Let's use another Gallup Q12 survey question to better understand how and when to use the t-test. Let's say you want to know if employees who strongly agree with this statement, my supervisor seems to care about me as a person, have higher overall satisfaction scores compared to those who don't…

Contents