PSY 230 Lecture Notes - Lecture 3: Focus Group, Descriptive Statistics, Bottom 10
15 Mar 2017
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Chapter 3: inferential statistics: describing a score, knowing one score tells little about how it relates to the whole distribution of scores, if i say someone has a score of 6, this is meaningless! 2 appropriate for rank-order or nominal/categorical/qualitative data: scale can be 1-100 or 1-7. Both have a z-score of +2: more about z- scores, z-scores are handy because they can be used with all equal-interval data, regardless of scale, building on chapter 1: equal-interval data are quantitative. Z-scores are not appropriate for rank-order or nominal/categorical/qualitative data: scale can be 1-100 or 1-7. If the z-score is +2, then we know the score is two times higher than average: example: class survey score of 7; iq score of 130. Result: a score of 6 is nearly 1. 5 standard deviations above the mean: formula to change a z score to a raw score:
