KIN222 Lecture Notes - Lecture 6: Anterior Cruciate Ligament Injury, Statistical Inference, Statistical Hypothesis Testing

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

Document Summary

Population (cid:862)refe(cid:396)s to the e(cid:374)ti(cid:396)e g(cid:396)oup of i(cid:374)di(cid:448)iduals to (cid:449)hi(cid:272)h a la(cid:449) of (cid:374)atu(cid:396)e applies(cid:863) (cid:894)hei(cid:373)a(cid:374)(cid:895) Examples: all kinesiology students in canada, all canadians over the age of 65, all canadians suffering from arthritis, all people with anterior cruciate ligament injury. Parameters: numbers that characterize the population, greek symbols ( , , ) Use inferential statistics to make judgements of the probability that an observed difference between groups is statistically different or one that might have happened simply by chance. Independent variable 1: group (rest interval length) Levels = 2 (40 seconds vs 160 seconds) Levels = 4 (set 1 vs set 2 vs set 3 vs set 4) Stimulating adaptations to training: rehydration, refuelling, biogenesis (protein synthesis, athletes more likely to drink alcohol to excess than general population. 3 conditions: alcohol-carbohydrate ingestion (alc-cho, alcohol-protein ingestion (alc-pro, protein only ingestion. Fractional synthetic ratemyofibrillar protein synthesis: greatest for pro-only ingestion, alcohol restricts the increase in protein synthesis.