PS295 Lecture Notes - Lecture 11: Box Plot, Standard Deviation, Standard Score
Document Summary
The standard normal distribution ( z scores) has all of the qualities of normal distribution but a standardized normal distribution with a mean of 0 and a standard deviation of 1 take any scale for ex. Mean of 10 and std of 3 to z score to mean of 0 and stf of 1. N(0,1) ( mean=0, std=1) total area under the curve is 1. 00 ( proportion is a decimal, multiply by 100 to get a percentage) the area inder the refers to probabilities (proportions) and it must equal. Standardization---> process of transforming normal distribution into a standard normal distribution x values are transformed into z scores z scores= standard scores raw scores----> the actual data that was collected. Properties of z scores positive z scores, are above the mean ( above 0) negative z score, are below the mean larger values are further away from the mean, relative to the spread around the mean.
