![]() n A Z score converts a raw score into the number of standardĭeviations that the score lies from the mean of the distribution. ¨ The normal distribution is the distribution that manyĬommon and important variables follow. ![]() Specific relation to the normal distribution. Previous topic, the standard deviation (SD) has a n There are four standard scores discussed in the text: Z scores, Someone else's performance in a 1 mile run to evaluate who is the "better"Īthlete? n Standard scores have a known mean and variability.Ĭonverting raw, observed scores to standard scores aids in comparisons. ¨ For example, how would you compare someone's performance in the long jump to Have different means and variability is difficult. Standard Scores n Comparing variables that are not measured in the same units and Problems of scoring, sampling, and hypothesis testing. N To demonstrate the application of the normal distribution in Including the relations among percentiles, central tendency, and variability. Reading n Vincent & Weir, Statistics in Kinesiology 4th ed., ChapterĦ “The Normal Curve” and Chapter 7 "Fundamentals of Statistical Inference" Purpose n To demonstrate the properties of the normal distribution, ![]() Normal Distribution Section 5.1 n This Topic has 4 Sections. 005: Normal Distribution PEP 6305 Measurement in
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