KINE 2050 Lecture Notes - Lecture 3: Semicolon, Frequency Distribution, List Of Statistical Packages

• School: York University
• Department: Kinesiology & Health Science
• Course: KINE 2050
• Professor: Gerard Carlse

Document Summary

M: a data value is one measurement, e(cid:454). Ja(cid:374)"s age of 47: an observation is all the info about one subject, ex. Data set #1: 3 3 1 3 2 0 5 2 4 3 3 4. Data set #2: . 3 . 3 . 1 . 3 . 2 0 . 5 . 2 . 4 . 3 . 3 . 4: count the number of scores, n=12. Id highest and lowest score: 0-5 & 0-. 5. If dealing with 1-100 scores, you want 5-10 class intervals/groups. If dealing with 101-1000 scores, you want 11-20 intervals: decide on the score range of each class interval. I=(5-0)/5=1 i=(. 5-0)/5=. 1: round off result of step 5 up or down if necessary, list class intervals of score in order, usually the largest interval is put at the top. It is usual to start the class interval with a value that is a multiple of i: complete the frequency (f) of each class interval.