What is Z-Score?
Z-score tells us the deviation of a data point from the mean by expressing it in terms of standard deviations above or below the mean. It gives us an idea of how far a data point is from the mean. Hence, the Z-Score is measured in terms of standard deviation from the mean. For example, a Z-score of 2 indicates the value is 2 standard deviations away from the mean. To use a z-score, we need to know the population mean (μ) and also the population standard deviation (σ).
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)
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