The article compares different statistical tests for analyzing relationships between variables in a normal population. The tests examined are likelihood ratio test, Rao's score test, and Wald's score test. The researchers looked at how these tests perform when the number of variables and sample size vary. The findings show that these tests have different strengths and weaknesses in detecting covariance structures.