An whole score distribution converted to z-scores would not alter the distribution's shape. "True" statement.
Define the meaning of the term z-scores?
Z-scores let statisticians and traders know whether a score falls within the norm for a given data set or deviates from it.
- Analysts can also modify scores from multiple data sets using Z-scores to create scores that are more accurately comparable to one another.
- The Z-score, in contrast, indicates how far a provided data point deviates from the mean.
- The Z-score is adverse for data sets that are lower than the mean. 99% of the values in most sizable data sets have a Z-score among -3 and 3, which denotes that they are within 3 standard deviations of the mean either above or below.
Thus, an whole score distribution converted to z-scores would not alter the distribution's shape.
To know more about the z-scores, here
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