PSY 241 Lecture Notes - Lecture 5: Standard Deviation
20 Sep 2016
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Document Summary
Z scores makes it easier to identify the exact location of each score in the distribution. The mean and the standard deviation are used to transform each raw score into z scores. A raw score on its own does not provide much information. Where a score is located in a distribution depends on the mean and the standard deviation. To make a raw score more meaningful, you can transform it into a new value that contains more information. Z scores tell exactly where raw scores are located. Z scores form a standardized distribution that can be directly compared to other z scored distributions. Sign tells whether the score is located above or below the man. Number tells how many standard deviations the score is away from the mean. The distribution of z scores has the following properties. What will be the standard deviation of the z distribution.
