which of these z-scores represents a high value zone based upon this masterclass?
Which of these z-scores represents a high value zone based upon this masterclass?
Answer: In statistics, a z-score measures how many standard deviations a data point is from the mean. High z-score values indicate that a data point is far from the mean, typically representing outliers or exceptional results.
Identifying High Value Zone in Z-Scores
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Understanding Z-Scores:
- A z-score of 0 indicates the value is exactly at the mean.
- Positive z-scores signify values above the mean.
- Negative z-scores signify values below the mean.
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High Value Zone:
- Typically, z-scores above 2 or below -2 are considered high value zones or outliers. These are significantly different from the majority of data in a normal distribution.
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Example:
- If you have a list of z-scores: -3, -1, 0, 1, 2, 3, a z-score of 3 or -3 would be in the high value zone.
Summary: In the context of normal distribution, z-scores typically greater than 2 or less than -2 represent high value zones, indicating values significantly higher or lower than the mean.