KIN222 Lecture Notes - Lecture 7: William Sealy Gosset, Repeated Measures Design, Test Statistic
20 Apr 2017
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Tatisti(cid:272)al test that is (cid:271)ased o(cid:374) the tude(cid:374)t"s t-distribution. There are many t-distri(cid:271)utio(cid:374)s (cid:449)o(cid:374)"t fit normal distribution bc small sample size could be infinite # of t distributions. Worked on different varieties of barley (quality control) 98 t-distribution: variability decreases with larger sample sizes. t-distribution curves more platykurtic. t-distribution depends on sample size. --> df = infinite = normal distribution. One-sample z-test: determining if a sample is representative of the population, population standard deviation is known. One-sample t-test: determining if a sample is representative of the population, population standard deviation is not known. Tdf = x bar mu / s xbar. Population: young adult males and females that are physically active. Sample: 15 females, 15 males, volunteers (not random sampling). Procedures: 1rm testing, knee extension, 2 reps with different loads, 20, 30, 40, 50, 60, 70, 80, 90% of 1rm load (random order). Subjective rating of perceived exertion after 2nd repetition.
