Properties of Z-Scores

Question

All of the following statements about converting a raw score to a $$z$$-score for a normal distribution are true EXCEPT:

Accepted Answer

Converting a raw score to a $$z$$-score involves dividing the raw score by the standard deviation without subtracting the mean.

Answer

The conversion formula is $$z = \frac{x-\mu}{\sigma}$$.

Answer

After converting to $$z$$-scores, probabilities can be computed using the standard normal distribution table or functions like normalcdf.

Answer

A $$z$$-score indicates how many standard deviations a raw score is from the mean.

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