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In the field of medical data analysis, understanding different types of data distributions is crucial. Among these, the standard normal distribution, often visualized as a bell curve, stands out due to its wide applicability and fundamental properties.
Let us review some key terms to understand first
| Term | Definition | Description | Use in Medical Statistics |
|---|---|---|---|
| Standard Normal Distribution (SND) | A special type of normal distribution where the mean (µ) is 0 and the standard deviation (σ) is 1. | SND is used as a reference distribution to compare other distributions. | SND is used to interpret the results of hypothesis tests and to calculate confidence intervals. |
| Z-score | A standardized measure of a data point's position relative to the mean. | Z-score is calculated by subtracting the mean from the data point and then dividing by the standard deviation. | Z-scores are used to compare data points from different distributions that have different means and standard deviations. |
| Empirical Rule (also known as the 68-95-99.7 rule or the 3 sigma rule) | A rule that describes the proportion of data points that fall within certain intervals around the mean in a standard normal distribution. | According to the empirical rule, about 68% of the data points fall within 1 standard... |
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