KIN222 Lecture Notes - Lecture 3: Central Tendency, Frequency Distribution, Line Graph

• School: University of Waterloo
• Department: Kinesiology
• Course: KIN222
• Professor: Ken Stark

Document Summary

Central tendency: cal(cid:272)ulati(cid:374)g (cid:862)o(cid:374)e (cid:374)u(cid:373)(cid:271)e(cid:396) that su(cid:373)(cid:373)a(cid:396)izes e(cid:448)e(cid:396)(cid:455)o(cid:374)e"s s(cid:272)o(cid:396)e. (cid:863) I(cid:374)di(cid:272)atio(cid:374) of the (cid:862)lo(cid:272)atio(cid:374)(cid:863) of o(cid:374)e pe(cid:396)so(cid:374)"s s(cid:272)o(cid:396)e (cid:396)elati(cid:448)e to the sa(cid:373)ple (cid:894)o(cid:396) populatio(cid:374)(cid:895). Measure of central tendency (cid:862)is a s(cid:272)o(cid:396)e that su(cid:373)(cid:373)a(cid:396)izes the lo(cid:272)atio(cid:374) of a dist(cid:396)i(cid:271)utio(cid:374) o(cid:374) a (cid:448)a(cid:396)ia(cid:271)le(cid:863). Eliminates the need to examine every single score: mode, median, mean. Is the most frequently occurring score in a distribution. (cid:862)highest(cid:863) poi(cid:374)t i(cid:374) a f(cid:396)e(cid:395)uency distribution. When is the mode used: nominal scales of measurement. The score at the 50th percentile (50% of the scores at or below the median). Advantages: can only have one median (compared to the mode). The median will usually be around where most of the scores are distributed: not affe(cid:272)ted (cid:271)(cid:455) e(cid:454)t(cid:396)e(cid:373)e (cid:862)outlie(cid:396)s(cid:863). This would affect mean but wont through off median. Uses: nominal and ordinal scores, and skewed distributions. Odd number of scores (arranged in rank order: median is the middle score.