KIN222 Lecture Notes - Lecture 4: Kurtosis, Central Tendency, Standard Deviation

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Measures of variability and z-scores: describes the extent to which scores in a distribution differs from each other. 3 aspects: indication of consistency in the scores. The greater the variability, the lower the consistency: describes the accuracy of the central tendency measures. The greater the variability, the less accurate the mean describes the distribution: measures ho(cid:449) (cid:862)spread out(cid:863) a distri(cid:271)utio(cid:374) is. Leptokurtic: relatively narrow distribution of scores: platykurtic: wider distribution of scores. Is the distance between the 2 most extreme scores in a distribution: co(cid:373)(cid:373)u(cid:374)i(cid:272)ates the full (cid:862)spread(cid:863) of the data. Min: crude measure of variability, only measure of variability that is used for nominal and ordinal data. Variance and standard deviation: most kinesiology-related research involves interval and/or ratio type of data, measures to describe how different scores are from each other in a normal distribution (with respect to the mean). Score deviation: refers to the (cid:862)dista(cid:374)(cid:272)e(cid:863) (cid:271)et(cid:449)ee(cid:374) a(cid:374) i(cid:374)di(cid:448)idual s(cid:272)ore a(cid:374)d a sa(cid:373)ple (cid:373)ea(cid:374).

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