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z score:
converting the raw score into z score (in terms of SD units) allows you to identify teh location of a score on a distribution immediately
by dividing by the SD, z expresses the distance from the mean in SD units
emphasize these are population parameters
can only use z score approach if you know the mean, SD for the population of interest
population formula for z-score:
z = (X-μ)/σ
x= raw score
mu= mean
sigma= SD
formula to calculate a raw score from a z score:
x = μ + zσ
standardizing a distribution:
converting a raw score into a z score
if you transform every raw score in a distribution into a z score you can standardize the entire distribution