PSYC 2320 Lecture Notes - Lecture 3: Standard Score, Standard Deviation, Standardized Test
30 Sep 2018
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Document Summary
Most of area under the curve falls in the middle. The tails of the distributions approach the x axis but never touch. Half scores fall on either side of the mean. Assuming we have a large n (>25) and a normal distribution we can also assume that. The majority of scores (roughly ) will fall within one stdev of the mean. A minority of scores fall more than two stdev from the mean (about 5%) Area under the curve always = 1. 00 or 100% Distributions can be narrow or wide - depending on stdev (this does not change our assumptions about area under the curve at specific numbers of stdev from the mean - it just becomes tall instead of wide) Unit free standardized score that indicates how many stdev a score is above or below the mean of distribution. Z-scores give the exact location of a score in a distribution.
