A score from a normal distribution may be converted to a score on the standard normal distribution by.
A) $z = \frac { X - \sigma } { \mu }$
B) $z = ( \mu - \sigma ) X$
C) $z = \frac { X - \mu } { \sigma }$
D) $z = ( X - \mu ) \sigma$

Question

A score from a normal distribution may be converted to a score on the standard normal distribution by. 
A) $z = \frac { X - \sigma } { \mu }$
B) $z = ( \mu - \sigma ) X$
C) $z = \frac { X - \mu } { \sigma }$
D) $z = ( X - \mu ) \sigma$

Quizplus · Accepted Answer

To convert a score from a normal distribution to a score on the standard normal distribution, we need to subtract the mean from the score and divide by the standard deviation. This formula is shown in choice C. Choices A, B, and D are incorrect.

A Score from a Normal Distribution May Be Converted to a Score