1. Transforming Scores Changing the scale of the data in some way. Change each score.

2. converting cm. to inches comparing values on different scales (e.g., height and weight) percentiles

3. Percentiles: converting data into the % of people at or below a particular level.

4. Example: Class A: score of 80 Class B: score of 55

5. Class A 981 962 882 853 822 802 763 723 702

6. Class B: 601 552 542 514 483 405 373

8. Class Acf 981 962 882 853 822 802 763 723 5 702 2

9. Class Acf 981 962 882 853 822 80210 763 8 723 5 702 2

10. Class Acf 98120 96219 88217 85315 82212 80210 763 8 723 5 702 2

13. Class B:cf 601 552 542 514 483 405 8 373 3

14. Class B:cf 601 55219 54217 51415 48311 405 8 373 3

15. Class B:cf 60120 55219 54217 51415 48311 405 8 373 3

17. Z score: transforms raw data into distance from the mean in units of standard deviation

19. Your score was 80 in a class with a mean of 79 and a standard deviation of 4.