Solution By Steps

Step 1: T Test

The t-test is used to determine if there is a significant difference between the means of two groups. It assesses whether the means are different beyond what would be expected due to random variation.

Step 2: Wald Test

The Wald test is a statistical test that evaluates the significance of individual parameters in a regression model. It tests the hypothesis that a parameter is equal to a specific value (often zero).

Step 3: Difference

The t-test compares means of two groups, while the Wald test assesses the significance of individual parameters in regression models.

T-test is used for comparing means, while the Wald test is used for testing the significance of coefficients in regression analysis.

Final Answer

T Test: Compares means of two groups.

Wald Test: Tests significance of parameters in regression.

Key Concept

Hypothesis Testing

Key Concept Explanation

Hypothesis testing involves using statistical tests to make inferences about population parameters based on sample data. The t-test compares means, while the Wald test assesses the significance of parameters in regression models. Both tests help researchers draw conclusions about the relationships between variables in their data.