We can use Z scores to roughly identify which observations are more unusual than others. One observation ๐ฅ1x1x_1 is said to be more unusual than another observation ๐ฅ2x2x_2 if the absolute value of its Z score is larger than the absolute value of the other observation's Z score: |๐1|>|๐2||Z1|>|Z2||Z_1| > |Z_2|. This technique is especially insightful when a distribution is symmetric.
yoh, in simple term i mean like if the z-score is far from the meawn so itr mean that the observartion is more unusual