Graph of Z-Score
If the number of elements in a given set is large, then about 68% of the elements have a z-score between -1 and 1; about 95% have a z-score between -2 and 2; about 99% have a z-score between -3 and 3. This is known as the Empirical Rule, and it states the percentage of data within certain standard deviations from the mean in a normal distribution as demonstrated in the image below,
Z-Score Table : Meaning, Formula, Graph and How to use
In the realm of information, the z-score is a fundamental idea that aids in standardizing and comparing statistics and emerges as a guiding light, illuminating the path to standardized comparisons and informed decision-making. Whether you are involved in finance, science, or any discipline in which statistics evaluation is paramount, the z-score may be an effective tool and the z-score emerges as a powerful ally.
Table of Content
- What is Z-Score?
- Formula of Z-Score
- Interpretation of Z-Score
- Characteristics of Z-Score
- Graph of Z-Score
- Z-Score Table
- How to use a Z-Score Table?
- Significance of Z-Score Table
- Examples of Z-Score Table
- Conclusion
- Frequently Asked Questions (FAQs)