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Lecture 5

PSYC 241 Lecture 5: Lecture 5: Z-scores

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PSYC 241
Kristen Leighton

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Lecture 5: zscores Distributions How do we describe distribution? Shape (symmetrical, + skewed, bimodal, etc.) Central tendency: one number that describes typical score (mean, median, mode) Variability: quantitative measure of the degree to which scores in a distribution are spread out or clustered together Normal distributions Normal distributions are precisely defined and always the same shape If you randomly choose a score from a normal distribution, it is most likely to be the mean If you rephrase the question in terms of how close would the score be to the mean, it is most likely to be within one standard deviation of the mean Zscores Our goal is to identify exactly where any score lies in this distribution Raw score (X value) provides little information about comparison to other scores in distribution Score may be relatively low, average, or high If raw score is transformed into zscore, the zscore tells us exactly whe
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