8. After reading the passage above, identify the UAT scores that fall +/- 1 standard deviation (SD) from the mean. Then identify scores that fall +/-2 SDs from the mean. Complete the entries below with a precision of two decimal places: (Note: The answer for +1 SD is provided as an example.) 14 17.5 21 X 14.82 28 -2 SDS -1 SD Mean +1 +2 SDS SD/ How are the mean and standard deviation used to interpret test scores? > If you know the mean and standard deviation of scores on a test, you can interpret an examinee's test score in relation to the scores of others who have taken the test. The mean tells you what an "average" score is and the standard deviation can tell you if a score is more than just an average distance (or deviation) away from the mean. For example, let's say several examinees were administered a measure of loneliness. On this measure, higher scores are associated with feeling more lonely. The mean score on the loneliness measure is 21 and the standard deviation is 3.5. If an examinee obtained a score of 21 on the loneliness measure, we would know that he or she probably feels an average level of loneliness. In fact, examinees who score within + 1 standard deviation from the mean (i.e., who obtain any score between 17.5 and 24.5) would still be considered fairly average, since these examinees' scores fall within the "average deviation from the mean." On the other hand, if an examinee obtained a score of 29 on the loneliness measure, we might be very concerned about how lonely he or she was feeling. A score of 29 on this measure falls more than 2 standard deviations above the mean, suggesting that this examinee is significantly more lonely than others who took the test. 8. After reading the box above, identify the UAT scores that fall + 1 standard deviation (SD) from the mean. Then identify scores that fall + 2 SDs from the mean. 14.82 -2 SDs -1 SD Mean +1 SD + 2 SDs