PSY 207 Lecture Notes - Lecture 5: South Dakota Highway 10, Standard Deviation, Central Tendency
26 Feb 2017
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Document Summary
Introduction to z-scores: 3 ways to describe a distribution: These are characteristics describe an entire distribution of scores: now we will shift to describing individual scores. Purpose of z-scores: often we want to describe the location of a score in a distribution. Z-scores (also called standard scores) give us precise information about the relative position of a score in the distribution. If all scores of a distribution are converted to z-scores: The same shape as the original distribution. Two sets of exams: 1st test (78, 81, 87, 88) mean = 83. 5 s = 4. 80, 2nd test (59, 61, 63, 88) mean = 67. 75 s = 13. 60. For both exams: convert a score of 88 to a z-score. Z (88 83. 5)/ 4. 80 = . 94. Exam 2 1. 49 13. 60 88 67. 75 z : 88 on the 1st exam is . 94 standard deviations above the mean, 88 on the 2nd exam is 1. 49 standard deviations above the mean.
