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Z Score
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A z score also known as a standard score is a statistical measurement that indicates how many standard deviations a particular data point is away from a distribution s mean average It is a way to standardize and compare data A z-score measures the distance between a data point and the mean using standard deviations. Z-scores can be positive or negative. The sign tells you whether the observation is above or below the mean. For example, a z-score of +2 indicates that the data point falls two standard deviations above the mean, while a -2 signifies it is two standard .
Z ScoreA z-score measures exactly how many standard deviations above or below the mean a data point is. Here's the formula for calculating a z-score: z = data point − mean standard deviation. Here's the same formula written with symbols: z = x − μ σ. Here are some important facts about z-scores: Standard scores are most commonly called z scores the two terms may be used interchangeably as they are in this article Other equivalent terms in use include z value z statistic normal score standardized variable and pull in high energy physics
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