PSY201H1 Lecture Notes - Lecture 4: Lightning, Statistical Inference, Standard Deviation

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6 Oct 2017
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What are z-scores: determining the location of a score, transforming distributions into z-scores and other standardized distributions, comparing scores of different distributions. Purpose of transforming x values into z-scores: to determine the exact location of a score relative to the distribution, to form a standardized distribution that can be directly compared to other distributions. Another section of the class had a different mu and different standard deviation. If you wanted to compare both scores, you need a standardized way to do that. Sign indicates whether the score is located above (+) or below (-) the mean. Number indicates the distance between the score and the mean. Indicates the number of standard deviations a score is from the mean. Z-s(cid:272)o(cid:396)e dist(cid:396)i(cid:271)utio(cid:374) al(cid:449)ays has a (cid:373)ea(cid:374) of (cid:1004). When you transform raw scores into z-scores, we transform them so the mean is 0 and the sd is 1. If you had a skewed distribution, then your z-scores would also be skewed.

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